Search results for "Microcalcification"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
102	Samuel Oporto-Díaz, Rolando R. Hernández-Cisneros, Hugo Terashima-Marín	Detection of Microcalcification Clusters in Mammograms Using a Difference of Optimized Gaussian Filters.	ICIAR	2005	DBLP DOI BibTeX RDF
102	Ho Kyung Kang, Sung-Min Kim, Nguyen N. Thanh, Yong Man Ro, Wonha Kim	Adaptive Microcalcification Detection in Computer Aided Diagnosis.	International Conference on Computational Science	2004	DBLP DOI BibTeX RDF
69	Wencang Zhao, Xinbo Yu, Fengxiang Li	Microcalcification Patterns Recognition Based Combination of Autoassociator and Classifier.	CIS (1)	2005	DBLP DOI BibTeX RDF
69	Kristin J. McLoughlin, Philip J. Bones, Nico Karssemeijer	Noise equalization for detection of microcalcification clusters in direct digital mammogram images.	IEEE Trans. Medical Imaging	2004	DBLP DOI BibTeX RDF
69	Ho Kyung Kang, Nguyen N. Thanh, Sung-Min Kim, Yong Man Ro	Robust Contrast Enhancement for Microcalcification in Mammography.	ICCSA (3)	2004	DBLP DOI BibTeX RDF
69	Rinku Panchal, Brijesh K. Verma	A Fusion of Neural Network Based Auto-associator and Classifier for the Classification of Microcalcification Patterns.	ICONIP	2004	DBLP DOI BibTeX RDF
63	Gholamali Rezai-Rad, Sepehr M. H. Jamarani	Detecting Microcalcification Clusters in Digital Mammograms Using Combination of Wavelet and Neural Network.	CGIV	2005	DBLP DOI BibTeX RDF	neural networks, wavelet, diagnosis, Breast cancer, microcalcification
60	Gonzalo Vegas-Sánchez-Ferrero, Juan Ignacio Arribas	A Statistical-Genetic Algorithm to Select the Most Significant Features in Mammograms.	CAIP	2007	DBLP DOI BibTeX RDF	microcalcification classification, genetic algorithms, feature selection, Breast cancer, medical diagnosis, neural network classifiers
60	Leonardo W. Estevez, Nasser Kehtarnavaz	Computer Assisted Enhancement of Mammograms for Detection of Microcalcifications.	CBMS	1995	DBLP DOI BibTeX RDF	computer-assisted mammogram enhancement, microcalcification detection, visual identification, false positive samples, general-purpose clustering algorithm, Issac, Interactive Selective and Adaptive Clustering, selective clustering, interactive adaptation, sensitive sample domains, clinical evaluation, routine reading session, generalization, interactive systems, object detection, medical image processing, sensitivity, breast cancer, generalisation (artificial intelligence), radiology, radiology
54	Robin N. Strickland, Hee Il Hahn	Wavelet transform matched filters for the detection and classification of microcalcifications in mammography.	ICIP	1995	DBLP DOI BibTeX RDF	wavelet transform matched filters, microcalcification detection, microcalcification classification, biorthogonal spline wavelet, pre-whitening matched filter, digitized mammograms, multiple scales, image segmentation, wavelet transforms, image reconstruction, image classification, medical image processing, resolution, image texture, breast cancer, mammography, splines (mathematics), matched filters, zero-crossings, diagnostic radiography, false alarms, object shape
53	Tian-Tian Chang, Jun Feng 0006, Hong-Wei Liu, Horace Ho-Shing Ip	Clustered Microcalcification detection based on a Multiple Kernel Support Vector Machine with Grouped Features (GF-SVM).	ICPR	2008	DBLP DOI BibTeX RDF
53	Ying Li, Jianmin Jiang	Combination of SVM Knowledge for Microcalcification Detection in Digital Mammograms.	IDEAL	2004	DBLP DOI BibTeX RDF
49	Rolando R. Hernández-Cisneros, Hugo Terashima-Marín, Santiago E. Conant-Pablos	Comparison of Class Separability, Forward Sequential Search and Genetic Algorithms for Feature Selection in the Classification of Individual and Clustered Microcalcifications in Digital Mammograms.	ICIAR	2007	DBLP DOI BibTeX RDF
47	M. G. Mini, V. P. Devassia, Tessamma Thomas	Multiplexed Wavelet Transform Technique for Detection of Microcalcification in Digitized Mammograms.	J. Digit. Imaging	2004	DBLP DOI BibTeX RDF	microcalcification detection, multiplexed wavelet transform, computer-aided methods for breast cancer detection, edge detection, DWT
43	Cristina Juarez-Landin, Volodymyr I. Ponomaryov, Jose Luis Sanchez-Ramirez, Magally Martinez-Reyes, Victor Kravchenko	Wavelets Based on Atomic Function Used in Detection and Classification of Masses in Mammography.	MICAI	2008	DBLP DOI BibTeX RDF	Atomic Function, Neural Networks, Classification, Wavelet Transform, Mammography, Microcalcification
37	Sylvain Bernard, Serge Muller, Jon Onativia	Computer-Aided Microcalcification Detection on Digital Breast Tomosynthesis Data: A Preliminary Evaluation.	Digital Mammography / IWDM	2008	DBLP DOI BibTeX RDF	Mexican hat, CAD, wavelet, filter, reconstruction, 3D, mammography, multiscale, X-ray, volume, noise model, tomosynthesis, back projection
37	Yongyi Yang, Liyang Wei, Robert M. Nishikawa	Microcalcification Classification Assisted by Content-Based Image Retrieval for Breast Cancer Diagnosis.	ICIP (5)	2007	DBLP DOI BibTeX RDF
37	Sutasinee Thovutikul, Sansanee Auephanwiriyakul, Nipon Theera-Umpon	Microcalcification Detection in Mammograms Using Interval Type-2 Fuzzy Logic System.	FUZZ-IEEE	2007	DBLP DOI BibTeX RDF
37	Nikolaos Arikidis, Spyros G. Skiadopoulos, Filippos Sakellaropoulos, George Panayiotakis 0001, Lena Costaridou	Capturing Microcalcification Patterns in Dense Parenchyma with Wavelet-Based Eigenimages.	Digital Mammography / IWDM	2006	DBLP DOI BibTeX RDF
37	Márta Altrichter, Gábor Horváth 0001	The Refinement of Microcalcification Cluster Assessment by Joint Analysis of MLO and CC Views.	Digital Mammography / IWDM	2006	DBLP DOI BibTeX RDF
37	Yonghong Peng, Qian Huang, Ping Jiang 0001, Jianmin Jiang	Cost-Sensitive Ensemble of Support Vector Machines for Effective Detection of Microcalcification in Breast Cancer Diagnosis.	FSKD (2)	2005	DBLP DOI BibTeX RDF
37	Xin Yuan, Pengcheng Shi	Physics Based Contrast Marking and Inpainting Based Local Texture Comparison for Clustered Microcalcification Detection.	MICCAI (2)	2004	DBLP DOI BibTeX RDF
37	Bin Yao, Jianmin Jiang, Yonghong Peng	A CBR Driven Genetic Algorithm for Microcalcification Cluster Detection.	EKAW	2004	DBLP DOI BibTeX RDF
33	Jeffery H. K. Wu, Ruey-Feng Chang, Chii-Jen Chen, Ching-Lin Wang, Ta-Hsun Kuo, Woo Kyung Moon, Dar-Ren Chen	Tamper Detection and Recovery for Medical Images Using Near-lossless Information Hiding Technique.	J. Digit. Imaging	2008	DBLP DOI BibTeX RDF	image processing, Medical image, image authentication
33	Rolando R. Hernández-Cisneros, Hugo Terashima-Marín	Classification of Individual and Clustered Microcalcifications in Digital Mammograms Using Evolutionary Neural Networks.	MICAI	2006	DBLP DOI BibTeX RDF
33	Gero Peters, Serge Muller, Sylvain Bernard, Razvan Iordache, Frederick W. Wheeler, Isabelle Bloch	Reconstruction-Independent 3D CAD for Calcification Detection in Digital Breast Tomosynthesis Using Fuzzy Particles.	CIARP	2005	DBLP DOI BibTeX RDF
33	Rosa Rodríguez-Sánchez, Jose A. García 0001, Joaquín Fernández-Valdivia, Xosé R. Fernández-Vidal	How to Define the Notion of Microcalcifications in Digitized Mammograms.	ICPR	2000	DBLP DOI BibTeX RDF
20	Haotian Sun, Shandong Wu, Xinjian Chen 0001, Ming Li, Lingji Kong, Xiaodong Yang 0005, You Meng, Shuangqing Chen, Jian Zheng 0001	SAH-NET: Structure-Aware Hierarchical Network for Clustered Microcalcification Classification in Digital Breast Tomosynthesis.	IEEE Trans. Cybern.	2024	DBLP DOI BibTeX RDF
20	Sujata Kulkarni, Rinku Rabidas	SqueezeU-Net-based detection and diagnosis of microcalcification in mammograms.	Signal Image Video Process.	2023	DBLP DOI BibTeX RDF
20	Marco Cantone, Claudio Marrocco, Francesco Tortorella, Alessandro Bria	Learnable DoG convolutional filters for microcalcification detection.	Artif. Intell. Medicine	2023	DBLP DOI BibTeX RDF
20	Jingkun Wang, Haotian Sun, Ke Jiang, Weiwei Cao, Shuangqing Chen, Jianbing Zhu, Xiaodong Yang 0005, Jian Zheng 0001	CAPNet: Context attention pyramid network for computer-aided detection of microcalcification clusters in digital breast tomosynthesis.	Comput. Methods Programs Biomed.	2023	DBLP DOI BibTeX RDF
20	Ehtsham Rasool, Muhammad Junaid Anwar, Bilawal Shaker, Muhammad Harris Hashmi, Khalil ur Rehman, Yousaf Seed	Breast Microcalcification detection in digital mammograms using Deep Transfer learning approaches.	ICCDE	2023	DBLP DOI BibTeX RDF
20	Nadia Kermouni Serradj, Mahammed Messadi, Sihem Lazzouni	Classification of Mammographic ROI for Microcalcification Detection Using Multifractal Approach.	J. Digit. Imaging	2022	DBLP DOI BibTeX RDF
20	Asma Touil, Karim Kalti, Pierre-Henri Conze, Basel Solaiman, Mohamed Ali Mahjoub	A New Collaborative Classification Process for Microcalcification Detection Based on Graphs and Knowledge Propagation.	J. Digit. Imaging	2022	DBLP DOI BibTeX RDF
20	Ana M. Mota, Matthew J. Clarkson, Pedro Almeida 0001, Nuno Matela	Automatic Classification of Simulated Breast Tomosynthesis Whole Images for the Presence of Microcalcification Clusters Using Deep CNNs.	J. Imaging	2022	DBLP DOI BibTeX RDF
20	Marzela Sánchez Osti, Jesús Carlos Pedraza Ortega, Efrén Gorrostieta Hurtado, Cecilia Gabriela Rodríguez Flores, Luis Antonio Salazar-Licea	Comparison of Key Point Detector Methods for Microcalcification's ROI Identification on Breast Images: An alternative to SIFT.	CCE	2022	DBLP DOI BibTeX RDF
20	Mouna Zouari Mehdi, Jihen Frikha Elleuch, Norhene Gargouri Ben Ayed, Majd Belaaj, Dorra Sellami, Alima Damak	Microcalcification detection using k-means based clustering within a possibility theory framework.	CoDIT	2022	DBLP DOI BibTeX RDF
20	Rachida Touami, Nacéra Benamrane	Microcalcification Detection in Mammograms Using Particle Swarm Optimization and Probabilistic Neural Network.	Computación y Sistemas	2021	DBLP DOI BibTeX RDF
20	Asma Touil, Karim Kalti, Pierre-Henri Conze, Basel Solaiman, Mohamed Ali Mahjoub	A new conditional region growing approach for microcalcification delineation in mammograms.	Medical Biol. Eng. Comput.	2021	DBLP DOI BibTeX RDF
20	Khalil ur Rehman, Jianqiang Li 0002, Yan Pei, Anaa Yasin, Saqib Ali, Tariq Mahmood 0001	Computer Vision-Based Microcalcification Detection in Digital Mammograms Using Fully Connected Depthwise Separable Convolutional Neural Network.	Sensors	2021	DBLP DOI BibTeX RDF
20	Juan Wang, Liang Lei, Yongyi Yang	Deep Learning Features for Discriminating Between Benign and Malignant Microcalcification Lesions.	Image Processing: Algorithms and Systems	2021	DBLP DOI BibTeX RDF
20	Asma Touil	Fusion collaborative de classifieurs : application à la détection de pathologies en mammographie. (Collaborative combination of classifiers : application to microcalcification detection in mammograms).		2021	RDF
20	Guanxiong Cai, Yanhui Guo, Weiguo Chen, Hui Zeng, Yuanpin Zhou, Yao Lu 0007	Computer-aided detection and diagnosis of microcalcification clusters on full field digital mammograms based on deep learning method using neutrosophic boosting.	Multim. Tools Appl.	2020	DBLP DOI BibTeX RDF
20	Annarita Fanizzi, Teresa M. A. Basile, Liliana Losurdo, Roberto Bellotti, Ubaldo Bottigli, Rosalba Dentamaro, Vittorio Didonna, Alfonso Fausto, Raffaella Massafra, Marco Moschetta, Ondina Popescu, Pasquale Tamborra, Sabina Tangaro, Daniele La Forgia	A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis.	BMC Bioinform.	2020	DBLP DOI BibTeX RDF
20	S. R. Sannasi Chakravarthy, Harikumar Rajaguru	Detection and classification of microcalcification from digital mammograms with firefly algorithm, extreme learning machine and non-linear regression models: A comparison.	Int. J. Imaging Syst. Technol.	2020	DBLP DOI BibTeX RDF
20	Andreas E. Petropoulos, Spyros G. Skiadopoulos, Anna Karahaliou, Gerasimos A. T. Messaris, Nikolaos Arikidis, Lena Costaridou	Quantitative assessment of microcalcification cluster image quality in digital breast tomosynthesis, 2-dimensional and synthetic mammography.	Medical Biol. Eng. Comput.	2020	DBLP DOI BibTeX RDF
20	Yifan Peng, Rui Hou 0002, Yinhao Ren, Lars J. Grimm, Jeffrey R. Marks, Eun-Sil Shelley Hwang, Joseph Y. Lo	Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index.	Medical Imaging: Computer-Aided Diagnosis	2020	DBLP DOI BibTeX RDF
20	Juan Wang 0007, Liang Lei, Yongyi Yang	Deep Learning Features for Modeling Perceptual Similarity in Microcalcification Lesion Retrieval.	ISBI	2020	DBLP DOI BibTeX RDF
20	Ya-Chu Hsieh, Chiun-Li Chin, Chia-Shin Wei, I-Miao Chen, Pin-Yu Yeh, Ru-Jiun Tseng	Combining VGG16, Mask R-CNN and Inception V3 to identify the benign and malignant of breast microcalcification clusters.	iFUZZY	2020	DBLP DOI BibTeX RDF
20	Asma Touil, Karim Kalti, Pierre-Henri Conze, Basel Solaiman, Mohamed Ali Mahjoub	Morphological-based microcalcification detection using adaptive thresholding and structural similarity indices.	ATSIP	2020	DBLP DOI BibTeX RDF
20	Yoshio Rubio, Oscar Montiel, Roberto Sepúlveda	Quantum inspired algorithm for microcalcification detection in mammograms.	Inf. Sci.	2019	DBLP DOI BibTeX RDF
20	Xinsheng Zhang, Zhe Wang	A microcalcification cluster detection method based on deep learning and multi-scale feature fusion.	J. Supercomput.	2019	DBLP DOI BibTeX RDF
20	Hongmin Cai, Qinjian Huang, Wentao Rong, Yan Song, Jiao Li, Jinhua Wang, Jiazhou Chen, Li Li 0032	Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms.	Comput. Math. Methods Medicine	2019	DBLP DOI BibTeX RDF
20	Vikrant Anilrao Karale, Joshua Peter Ebenezer, Jayasree Chakraborty, Tulika Singh, Anup K. Sadhu, Niranjan Khandelwal, Sudipta Mukhopadhyay	A Screening CAD Tool for the Detection of Microcalcification Clusters in Mammograms.	J. Digit. Imaging	2019	DBLP DOI BibTeX RDF
20	Minu George, Zhili Chen, Reyer Zwiggelaar	Multiscale connected chain topological modelling for microcalcification classification.	Comput. Biol. Medicine	2019	DBLP DOI BibTeX RDF
20	Nashid Alam, Erika R. E. Denton, Reyer Zwiggelaar	Classification of Microcalcification Clusters in Digital Mammograms Using a Stack Generalization Based Classifier.	J. Imaging	2019	DBLP DOI BibTeX RDF
20	Sheng Cai, Peizhong Liu, Yan-Min Luo 0001, Yongzhao Du, Jianeng Tang	Breast Microcalcification Detection Algorithm Based on Contourlet and ASVM.	Algorithms	2019	DBLP DOI BibTeX RDF
20	Rui Hou 0002, Yinhao Ren, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo	Malignant microcalcification clusters detection using unsupervised deep autoencoders.	Medical Imaging: Computer-Aided Diagnosis	2019	DBLP DOI BibTeX RDF
20	Guanxiong Cai, Yanhui Guo, Weiguo Chen, Hui Zeng, Yuanpin Zhou, Yao Lu 0007	Computer-aided detection and classification of microcalcification clusters on full field digital mammograms using deep convolution neural network.	Medical Imaging: Computer-Aided Diagnosis	2019	DBLP DOI BibTeX RDF
20	Maissa Sghaier, Émilie Chouzenoux, Giovanni Palma, Jean-Christophe Pesquet, Serge Muller	A New Approach For Microcalcification Enhancement In Digital Breast Tomosynthesis Reconstruction.	ISBI	2019	DBLP DOI BibTeX RDF
20	María V. Sainz de Cea, Robert M. Nishikawa, Yongyi Yang	Limiting Level of False-Positive Detections in Classification of Microcalcification Clusters in Mammograms.	ISBI	2019	DBLP DOI BibTeX RDF
20	Fandong Zhang, Ling Luo, Xinwei Sun 0001, Zhen Zhou, Xiuli Li, Yizhou Yu, Yizhou Wang 0001	Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms.	CVPR	2019	DBLP BibTeX RDF
20	Lucas R. Borges, Paulo Mazzoncini de Azevedo Marques, Marcelo Andrade da Costa Vieira	A 2-AFC study to validate artificially inserted microcalcification clusters in digital mammography.	Medical Imaging: Image Perception, Observer Performance, and Technology Assessment	2019	DBLP DOI BibTeX RDF
20	Benedetta Savelli, Claudio Marrocco, Alessandro Bria, Mario Molinara, Francesco Tortorella	Combining Convolutional Neural Networks for Multi-context Microcalcification Detection in Mammograms.	CAIP Workshops	2019	DBLP DOI BibTeX RDF
20	Thomas Auslander, Sofia Miguez, Alexandra Batzdorf, Olivia Sorci, Marie Lim, Brandon Jones, Michael Mayer, Poul Flemming Høilund-Carlsen, Abass Alavi, Chamith S. Rajapakse	Using FDG and NaF PET/CT imaging to investigate the relationship between inflammation and microcalcification in the aorta.	Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging	2019	DBLP DOI BibTeX RDF
20	Juan Wang 0002, Yongyi Yang	A context-sensitive deep learning approach for microcalcification detection in mammograms.	Pattern Recognit.	2018	DBLP DOI BibTeX RDF
20	G. R. Jothilakshmi, Arun Raaza, V. Rajendran, Y. Sreenivasa Varma, R. Guru Nirmal Raj	Pattern Recognition and Size Prediction of Microcalcification Based on Physical Characteristics by Using Digital Mammogram Images.	J. Digit. Imaging	2018	DBLP DOI BibTeX RDF
20	Gabriele Valvano, Gianmarco Santini, Nicola Martini, Andrea Ripoli, Chiara Iacconi, Dante Chiappino, Daniele Della Latta	Convolutional Neural Networks for the segmentation of microcalcification in Mammography Imaging.	CoRR	2018	DBLP BibTeX RDF
20	Jonathan Hernández-Capistrán, Jorge Francisco Martínez-Carballido, Roberto Rosas-Romero	False Positive Reduction by an Annular Model as a Set of Few Features for Microcalcification Detection to Assist Early Diagnosis of Breast Cancer.	J. Medical Syst.	2018	DBLP DOI BibTeX RDF
20	Garima Verma, Maria Laura Luciani, Alessandro Palombo, Linda Metaxa, Giovanna Panzironi, Federica Pediconi, Alessandro Giuliani, Mariano Bizzarri, Virginia Todde	Microcalcification morphological descriptors and parenchyma fractal dimension hierarchically interact in breast cancer: A diagnostic perspective.	Comput. Biol. Medicine	2018	DBLP DOI BibTeX RDF
20	Nashid Alam, Arnau Oliver, Erika R. E. Denton, Reyer Zwiggelaar	Automatic Segmentation of Microcalcification Clusters.	MIUA	2018	DBLP DOI BibTeX RDF
20	Guanxiong Cai, Yanhui Guo, Yaqin Zhang, Genggeng Qin, Yuanpin Zhou, Yao Lu 0007	A fully automatic microcalcification detection approach based on deep convolution neural network.	Medical Imaging: Computer-Aided Diagnosis	2018	DBLP DOI BibTeX RDF
20	Minu George, Erika R. E. Denton, Reyer Zwiggelaar	Topological Connected Chain Modelling for Classification of Mammographic Microcalcification.	CGVC	2018	DBLP DOI BibTeX RDF
20	Andrik Rampun, Hui Wang 0001, Bryan W. Scotney, Philip J. Morrow, Reyer Zwiggelaar	Classification of mammographic microcalcification clusters with machine learning confidence levels.	IWBI	2018	DBLP DOI BibTeX RDF
20	Maria Castillo-García, Alejandro Rodríguez-Ruiz, Joao Emilio Peixoto, Margarita Chevalier	Phantom-based comparison of microcalcification visibility between digital and synthetic mammography using humans and a deep neural network as observers.	IWBI	2018	DBLP DOI BibTeX RDF
20	Zhijin Li, Agnès Desolneux, Serge Muller, Pablo Milioni de Carvalho, Ann-Katherine Carton	Comparison of microcalcification detectability in FFDM and DBT using a virtual clinical trial.	Medical Imaging: Image Perception, Observer Performance, and Technology Assessment	2018	DBLP DOI BibTeX RDF
20	Nashid Alam, Reyer Zwiggelaar	Evaluation of Graph Topological Features in Digitized Mammogram for Microcalcification Cluster Classification.	DICTA	2018	DBLP DOI BibTeX RDF
20	Kai Hu 0002, Wei Yang, Xieping Gao	Microcalcification diagnosis in digital mammography using extreme learning machine based on hidden Markov tree model of dual-tree complex wavelet transform.	Expert Syst. Appl.	2017	DBLP DOI BibTeX RDF
20	Marimuthu Muthuvel, Balakumaran Thangaraju, Gowrishankar Chinnasamy	Microcalcification cluster detection using multiscale products based Hessian matrix via the Tsallis thresholding scheme.	Pattern Recognit. Lett.	2017	DBLP DOI BibTeX RDF
20	Marcin Ciecholewski	Microcalcification Segmentation from Mammograms: A Morphological Approach.	J. Digit. Imaging	2017	DBLP DOI BibTeX RDF
20	Sanjeev Kumar, Mahesh Chandra	Detection of Microcalcification Using the Wavelet Based Adaptive Sigmoid Function and Neural Network.	J. Inf. Process. Syst.	2017	DBLP DOI BibTeX RDF
20	Yoshio Rubio, Oscar Montiel, Roberto Sepúlveda	Microcalcification Detection in Mammograms Based on Fuzzy Logic and Cellular Automata.	Nature-Inspired Design of Hybrid Intelligent Systems	2017	DBLP DOI BibTeX RDF
20	Vikrant Anilrao Karale, Sudipta Mukhopadhyay, Tulika Singh, Niranjan Khandelwal, Anup K. Sadhu	Automated detection of microcalcification clusters in mammograms.	Medical Imaging: Computer-Aided Diagnosis	2017	DBLP DOI BibTeX RDF
20	Egemen Sert, Seyda Ertekin, Ugur Halici	Ensemble of convolutional neural networks for classification of breast microcalcification from mammograms.	EMBC	2017	DBLP DOI BibTeX RDF
20	Agnese Marchesi, Alessandro Bria, Claudio Marrocco, Mario Molinara, Jan-Jurre Mordang, Francesco Tortorella, Nico Karssemeijer	The Effect of Mammogram Preprocessing on Microcalcification Detection with Convolutional Neural Networks.	CBMS	2017	DBLP DOI BibTeX RDF
20	Shems Bertegi, Kirmene Marzouki	Microcalcification detection using Self Organizing Neuro Glia Network classifier.	IJCNN	2017	DBLP DOI BibTeX RDF
20	Yin Yin, Sergei V. Fotin, Hrishikesh Haldankar, Jeffrey W. Hoffmeister, Senthil Periaswamy	Transferring Learned Microcalcification Group Detection from 2D Mammography to 3D Digital Breast Tomosynthesis Using a Hierarchical Model and Scope-based Normalization Features.	CoRR	2016	DBLP BibTeX RDF
20	Shayne M. Plourde, Zach Marin, Zachary Smith, Brian C. Toner, Kendra A. Batchelder, Andre Khalil	Computational growth model of breast microcalcification clusters in simulated mammographic environments.	Comput. Biol. Medicine	2016	DBLP DOI BibTeX RDF
20	J. S. Leena Jasmine, S. Mary Joans	Robust automatic classification of benign and malignant microcalcification and mass in digital mammography.	Int. J. Bus. Intell. Data Min.	2016	DBLP DOI BibTeX RDF
20	Oluwaseun Ashiru, Reyer Zwiggelaar	Classification of mammographic microcalcification clusters using a combination of topological and location modelling.	IPTA	2016	DBLP DOI BibTeX RDF
20	Ji-Wook Jeong, Seung-Hoon Chae, Eun Young Chae, Hak Hee Kim, Young-Wook Choi, Sooyeul Lee	Simplified computer-aided detection scheme of microcalcification clusters in digital breast tomosynthesis images.	EMBC	2016	DBLP DOI BibTeX RDF
20	Mouna Zouari Mehdi, Norhene Gargouri Ben Ayed, Alima Damak Masmoudi, Dorra Sellemi	An efficient technique for the extraction of microcalcification's severity features.	IPAS	2016	DBLP DOI BibTeX RDF
20	K. S. Thivya, P. Sakthivel	Analysis of Framelets for the Microcalcification.	CVIP (1)	2016	DBLP DOI BibTeX RDF
20	Ismail Iseri	An Artifical intelligence based software application for microcalcification detection on mammogram images.	SIU	2016	DBLP DOI BibTeX RDF
20	Harry Strange, Reyer Zwiggelaar	Non-expert Classification of Microcalcification Clusters Using Mereotopological Barcodes.	Digital Mammography / IWDM	2016	DBLP DOI BibTeX RDF
20	Jan-Jurre Mordang, Tim Janssen, Alessandro Bria, Thijs Kooi, Albert Gubern-Mérida, Nico Karssemeijer	Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks.	Digital Mammography / IWDM	2016	DBLP DOI BibTeX RDF
20	Zhili Chen, Harry Strange, Arnau Oliver, Erika R. E. Denton, Caroline R. M. Boggis, Reyer Zwiggelaar	Topological Modeling and Classification of Mammographic Microcalcification Clusters.	IEEE Trans. Biomed. Eng.	2015	DBLP DOI BibTeX RDF
20	Xiaoming Liu 0004, Ming Mei, Jun Liu 0011, Wei Hu 0001	Microcalcification detection in full-field digital mammograms with PFCM clustering and weighted SVM-based method.	EURASIP J. Adv. Signal Process.	2015	DBLP DOI BibTeX RDF
20	Aya F. Khalaf, Inas A. Yassine	Novel features for microcalcification detection in digital mammogram images based on wavelet and statistical analysis.	ICIP	2015	DBLP DOI BibTeX RDF
20	Ravi K. Samala, Heang-Ping Chan, Yao Lu 0007, Lubomir M. Hadjiiski, Jun Wei 0002, Mark A. Helvie	Digital breast tomosynthesis: application of 2D digital mammography CAD to detection of microcalcification clusters on planar projection image.	Medical Imaging: Computer-Aided Diagnosis	2015	DBLP DOI BibTeX RDF