Search results for "Mammograms"

Hits ?▲	Authors	Title	Venue	Year	Link
14	B. V. Divyashree, G. Hemantha Kumar 0001	Breast Cancer Mass Detection in Mammograms Using Gray Difference Weight and MSER Detector.	SN Comput. Sci.	2021	DBLP DOI BibTeX RDF
14	Mickael Tardy, Diana Mateus	Looking for Abnormalities in Mammograms With Self- and Weakly Supervised Reconstruction.	IEEE Trans. Medical Imaging	2021	DBLP DOI BibTeX RDF
14	Jinn-Yi Yeh, Sheng-You Wu, Si-Wa Chan	Using a Region Growth Algorithm and Deep Reinforcement Learning for Detecting Breast Arterial Calcification in Mammograms.	J. Inf. Sci. Eng.	2021	DBLP BibTeX RDF
14	Nagadevi Darapureddy, Nagaprakash Karatapu, Battula Tirumala Krishna	Comparative Analysis of Texture Patterns on Mammograms for Classification.	Traitement du Signal	2021	DBLP DOI BibTeX RDF
14	Devi Vijayan, R. Lavanya	Ensemble of density-specific experts for mass characterization in mammograms.	Signal Image Video Process.	2021	DBLP DOI BibTeX RDF
14	Hamed Pezeshki, Maryam Rastgarpour, Arash Sharifi, Samaneh Yazdani	Mass classification of mammograms using fractal dimensions and statistical features.	Multidimens. Syst. Signal Process.	2021	DBLP DOI BibTeX RDF
14	Hua Li, Jing Niu, Dengao Li, Chen Zhang	Classification of breast mass in two-view mammograms via deep learning.	IET Image Process.	2021	DBLP DOI BibTeX RDF
14	Chatsuda Songsaeng, Piyanoot Woodtichartpreecha, Sitthichok Chaichulee	Multi-Scale Convolutional Neural Networks for Classification of Digital Mammograms With Breast Calcifications.	IEEE Access	2021	DBLP DOI BibTeX RDF
14	Sajida Imran, Bilal Ahmed Lodhi, Ali Alzahrani 0001	Unsupervised Method to Localize Masses in Mammograms.	IEEE Access	2021	DBLP DOI BibTeX RDF
14	Güliz Toz, Pakize Erdogmus	A Novel Hybrid Image Segmentation Method for Detection of Suspicious Regions in Mammograms Based on Adaptive Multi-Thresholding (HCOW).	IEEE Access	2021	DBLP DOI BibTeX RDF
14	Andres J. Anaya-Isaza, Leonel Mera-Jiménez, Johan Manuel Cabrera-Chavarro, Lorena Guachi-Guachi, Diego Hernán Peluffo-Ordóñez, Jorge Iván Ríos Patiño	Comparison of Current Deep Convolutional Neural Networks for the Segmentation of Breast Masses in Mammograms.	IEEE Access	2021	DBLP DOI BibTeX RDF
14	Ghada Hamed, Mohammed Marey, Safaa Elsayed Amin, Mohamed F. Tolba 0001	Automated Breast Cancer Detection and Classification in Full Field Digital Mammograms Using Two Full and Cropped Detection Paths Approach.	IEEE Access	2021	DBLP DOI BibTeX RDF
14	Yan Wang, Yangqin Feng, Lei Zhang 0005, Zizhou Wang, Qing Lv, Zhang Yi 0001	Deep adversarial domain adaptation for breast cancer screening from mammograms.	Medical Image Anal.	2021	DBLP DOI BibTeX RDF
14	Jia Yin Goh, Tsung Fei Khang	On the classification of simple and complex biological images using Krawtchouk moments and Generalized pseudo-Zernike moments: a case study with fly wing images and breast cancer mammograms.	PeerJ Comput. Sci.	2021	DBLP DOI BibTeX RDF
14	Rachida Touami, Nacéra Benamrane	Microcalcification Detection in Mammograms Using Particle Swarm Optimization and Probabilistic Neural Network.	Computación y Sistemas	2021	DBLP DOI BibTeX RDF
14	Nan Wu, Zhe Huang 0005, Yiqiu Shen, Jungkyu Park 0001, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras	Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms.	J. Digit. Imaging	2021	DBLP DOI BibTeX RDF
14	Ting Hu, Lei Zhang 0005, Lizhang Xie, Zhang Yi 0001	A multi-instance networks with multiple views for classification of mammograms.	Neurocomputing	2021	DBLP DOI BibTeX RDF
14	Jayesh George Melekoodappattu, Perumal Sankar Subbian, M. P. Flower Queen	Detection and classification of breast cancer from digital mammograms using hybrid extreme learning machine classifier.	Int. J. Imaging Syst. Technol.	2021	DBLP DOI BibTeX RDF
14	S. R. Sannasi Chakravarthy, Harikumar Rajaguru	A novel improved crow-search algorithm to classify the severity in digital mammograms.	Int. J. Imaging Syst. Technol.	2021	DBLP DOI BibTeX RDF
14	Ravitha Rajalakshmi N, Vidhyapriya Ranganathan, Elango N, Nikhil Ramesh	Deeply supervised U-Net for mass segmentation in digital mammograms.	Int. J. Imaging Syst. Technol.	2021	DBLP DOI BibTeX RDF
14	Juhun Lee, Robert M. Nishikawa	Identifying Women with Mammographically-Occult Breast Cancer Leveraging GAN-Simulated Mammograms.	CoRR	2021	DBLP BibTeX RDF
14	Hao Du 0005, Melissa Min-Szu Yao, Liangyu Chen, Wing P. Chan, Mengling Feng	Multi-task Graph Convolutional Neural Network for Calcification Morphology and Distribution Analysis in Mammograms.	CoRR	2021	DBLP BibTeX RDF
14	Tao Wei, Angelica I. Avilés-Rivero, Shuo Wang, Yuan Huang 0009, Fiona J. Gilbert, Carola-Bibiane Schönlieb, Chang Wen Chen	Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations.	CoRR	2021	DBLP BibTeX RDF
14	Roee Zamir, Shai Bagon, David Samocha, Yael Yagil, Ronen Basri, Miri Sklair-Levy, Meirav Galun	Segmenting Microcalcifications in Mammograms and its Applications.	CoRR	2021	DBLP BibTeX RDF
14	Huyen T. X. Nguyen, Sam B. Tran, Dung B. Nguyen, Hieu H. Pham 0001, Ha Q. Nguyen 0001	A novel multi-view deep learning approach for BI-RADS and density assessment of mammograms.	CoRR	2021	DBLP BibTeX RDF
14	Behrouz NiroomandFam, Alireza Nikravanshalmani, Madjid Khalilian	Automatic breast mass detection in mammograms using density of wavelet coefficients and a patch-based CNN.	Int. J. Comput. Assist. Radiol. Surg.	2021	DBLP DOI BibTeX RDF
14	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
14	Chunbo Xu, Meng Lou, Yunliang Qi, Yiming Wang, Jiande Pi, Yide Ma	Multi-Scale Attention-Guided Network for mammograms classification.	Biomed. Signal Process. Control.	2021	DBLP DOI BibTeX RDF
14	Khaoula Belhaj Soulami, Naima Kaabouch, Mohamed Nabil Saidi, Ahmed Tamtaoui	Breast cancer: One-stage automated detection, segmentation, and classification of digital mammograms using UNet model based-semantic segmentation.	Biomed. Signal Process. Control.	2021	DBLP DOI BibTeX RDF
14	Mei-Ling Huang, Ting-Yu Lin	Considering breast density for the classification of benign and malignant mammograms.	Biomed. Signal Process. Control.	2021	DBLP DOI BibTeX RDF
14	Enas M. F. El Houby, Nisreen I. R. Yassin	Malignant and nonmalignant classification of breast lesions in mammograms using convolutional neural networks.	Biomed. Signal Process. Control.	2021	DBLP DOI BibTeX RDF
14	Samuel Rahimeto, Taye Girma Debelee, Dereje Yohannes, Friedhelm Schwenker	Automatic pectoral muscle removal in mammograms.	Evol. Syst.	2021	DBLP DOI BibTeX RDF
14	Wenwei Zhao, Meng Lou, Yunliang Qi, Yiming Wang, Chunbo Xu, Xiangyu Deng, Yide Ma	Adaptive channel and multiscale spatial context network for breast mass segmentation in full-field mammograms.	Appl. Intell.	2021	DBLP DOI BibTeX RDF
14	Jiande Pi, Yunliang Qi, Meng Lou, Xiaorong Li, Yiming Wang, Chunbo Xu, Yide Ma	FS-UNet: Mass segmentation in mammograms using an encoder-decoder architecture with feature strengthening.	Comput. Biol. Medicine	2021	DBLP DOI BibTeX RDF
14	Haipeng Li, Ramakrishnan Mukundan, Shelley Boyd	Novel Texture Feature Descriptors Based on Multi-Fractal Analysis and LBP for Classifying Breast Density in Mammograms.	J. Imaging	2021	DBLP DOI BibTeX RDF
14	Parita Rajiv Oza, Paawan Sharma, Samir Patel, Alessandro Bruno	A Bottom-Up Review of Image Analysis Methods for Suspicious Region Detection in Mammograms.	J. Imaging	2021	DBLP DOI BibTeX RDF
14	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
14	Ghada Hamed, Mohammed Marey, Safaa Amin El-Sayed, Mohamed Fahmy Tolba	YOLO Based Breast Masses Detection and Classification in Full-Field Digital Mammograms.	Comput. Methods Programs Biomed.	2021	DBLP DOI BibTeX RDF
14	Manal Al Ghamdi, Mohamed Abdel-Mottaleb	DV-DCNN: Dual-view deep convolutional neural network for matching detected masses in mammograms.	Comput. Methods Programs Biomed.	2021	DBLP DOI BibTeX RDF
14	Ricardo Wandré Dias Pedro, Ariane Machado-Lima, Fátima L. S. Nunes	Towards an approach using grammars for automatic classification of masses in mammograms.	Comput. Intell.	2021	DBLP DOI BibTeX RDF
14	Ghada Hamed Aly, Mohammed Abd El-Rahman Marey, Safaa El-Sayed Amin, Mohamed Fahmy Tolba	YOLO V3 and YOLO V4 for Masses Detection in Mammograms with ResNet and Inception for Masses Classification.	AMLTA	2021	DBLP DOI BibTeX RDF
14	Yi-Chong Zeng	Detection and Recognition of Infra mammary Fold on MLO-view Mammograms.	ICCE-TW	2021	DBLP DOI BibTeX RDF
14	Roee Zamir, Shai Bagon, David Samocha, Yael Yagil, Ronen Basri, Miri Sklair-Levy, Meirav Galun	Segmenting microcalcifications in mammograms and its applications.	Medical Imaging: Image Processing	2021	DBLP DOI BibTeX RDF
14	Juhun Lee, Robert M. Nishikawa, Andriy Bandos, Margarita L. Zuley	Estimating near term breast cancer risk from sequential mammograms using deep learning, radon cumulative distribution transform, and a clinical risk factor: preliminary analysis.	Medical Imaging: Computer-Aided Diagnosis	2021	DBLP DOI BibTeX RDF
14	Rodrigo Leite Prates, Wilfrido Gómez-Flores, Wagner Coelho A. Pereira	Semantic Segmentation of Mammograms Using Pre-Trained Deep Neural Networks.	CCE	2021	DBLP DOI BibTeX RDF
14	Yutong Yan, Pierre-Henri Conze, Gwenolé Quellec, Mathieu Lamard, Béatrice Cochener, Gouenou Coatrieux	Two-Stage Multi-Scale Mass Segmentation From Full Mammograms.	ISBI	2021	DBLP DOI BibTeX RDF
14	Kosmia Loizidou, Galateia Skouroumouni, Christos Nikolaou, Costas Pitris	Breast Mass Detection And Classification Algorithm Based On Temporal Subtraction Of Sequential Mammograms.	ISBI	2021	DBLP DOI BibTeX RDF
14	Zhili Chen, Zhimin Zhao, Adamu Abubakar Abba	Detection of Microcalcifications in Mammograms Based on Hyper Faster R-CNN.	ACAI	2021	DBLP DOI BibTeX RDF
14	Gunturu Krishna Chaitanya, Vivek Kukkapalli, I S. K. Vishwanath Varma, SK Kabeer Basha, Devi Vijayan	Computer Aided Mass Detection in Mammograms.	ICCCSP	2021	DBLP DOI BibTeX RDF
14	Yuxing Tang, Zhenjie Cao, Yanbo Zhang, Zhicheng Yang, Zongcheng Ji, Yiwei Wang, Mei Han, Jie Ma, Jing Xiao 0006, Peng Chang 0002	Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms.	CVPR	2021	DBLP BibTeX RDF
14	Sarah Said, Paola Clauser, Nicole V. Ruiter, Pascal A. Baltzer, Torsten Hopp	Image registration between MRI and spot mammograms for X-ray guided stereotactic breast biopsy: preliminary results.	Medical Imaging: Image-Guided Procedures	2021	DBLP DOI BibTeX RDF
14	Yanbo Zhang, Yuxing Tang, Zhenjie Cao, Mei Han, Jing Xiao 0006, Jie Ma, Peng Chang 0002	BI-RADS Classification of Calcification on Mammograms.	MICCAI (7)	2021	DBLP DOI BibTeX RDF
14	Xi Ouyang, Jifei Che, Qitian Chen, Zheren Li, Yiqiang Zhan, Zhong Xue, Qian Wang 0001, Jie-Zhi Cheng, Dinggang Shen	Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms.	MICCAI (7)	2021	DBLP DOI BibTeX RDF
14	Ibrahim Jubran, Moshiko Raboh, Shaked Perek, David Gruen, Efrat Hexter	A Glimpse into the Future: Disease Progression Simulation for Breast Cancer in Mammograms.	SASHIMI@MICCAI	2021	DBLP DOI BibTeX RDF
14	Vikash Gupta, Clayton Taylor, Sarah Bonnet, Luciano M. Prevedello, Jeffrey Hawley, Richard D. White, Mona G. Flores, Barbaros Selnur Erdal	Deep Learning Based Automatic Detection of Adequately Positioned Mammograms.	DART/FAIR@MICCAI	2021	DBLP DOI BibTeX RDF
14	Tal Tlusty, Michal Ozery-Flato, Vesna Resende Barros, Ella Barkan, Mika Amit, David Gruen, Michal Guindy, Tal Arazi, Mona Rozin, Michal Rosen-Zvi, Efrat Hexter	Pre-biopsy Multi-class Classification of Breast Lesion Pathology in Mammograms.	MLMI@MICCAI	2021	DBLP DOI BibTeX RDF
14	Amine Hamza Yaker, Lydia Bouzar-Benlabiod, Anne Menendez, Guy Paillet	Mammograms Classification with NeuroMem® Chip for Breast Cancer Detection.	IRI	2021	DBLP DOI BibTeX RDF
14	Alexander Yalunin, Elena Sokolova, Ilya Burenko, Alexander Ponomarchuk, Olga Puchkova, Dmitriy Umerenkov	Generating Mammography Reports from Multi-view Mammograms with BERT.	EMNLP (Findings)	2021	DBLP DOI BibTeX RDF
14	Ziba Gandomkar, Ernest U. Ekpo, Sarah J. Lewis 0001, Moayyad E. Suleiman, Somphone Siviengphanom, Tong Li, Patrick C. Brennan	An end-to-end deep learning model can detect the gist of the abnormal in prior mammograms as perceived by experienced radiologists.	Medical Imaging: Image Perception, Observer Performance, and Technology Assessment	2021	DBLP DOI BibTeX RDF
14	Sabrina S. Panceri, Filipe Wall Mutz, Vinicius B. Cardoso, Raphael V. Carneiro, Thiago Oliveira-Santos, Claudine Badue, Alberto F. De Souza	Detecting Cancerous Tissue in Mammograms Using Deep Neural Networks.	IJCNN	2021	DBLP DOI BibTeX RDF
14	Enrique V. Carrera, Bernarda Sandoval, Christian Carrasco	Identification of Breast Cancer Through Digital Processing of Mammograms.	ARTIIS	2021	DBLP DOI BibTeX RDF
14	Ridhi Arora, Balasubramanian Raman	A Deep Neural CNN Model with CRF For Breast Mass Segmentation in Mammograms.	EUSIPCO	2021	DBLP DOI BibTeX RDF
14	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
14	Vivek Kumar Singh 0008, Hatem A. Rashwan, Santiago Romaní, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Meritxell Arenas, Miguel Arquez, Domenec Puig, Jordina Torrents-Barrena	Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network.	Expert Syst. Appl.	2020	DBLP DOI BibTeX RDF
14	Manal Al Ghamdi, Mohamed Abdel-Mottaleb, Fernando Collado-Mesa	DU-Net: Convolutional Network for the Detection of Arterial Calcifications in Mammograms.	IEEE Trans. Medical Imaging	2020	DBLP DOI BibTeX RDF
14	Vaira Suganthi Gnanasekaran, Sutha Joypaul, Parvathy Meenakshi Sundaram, Durga Devi Chairman	Deep learning algorithm for breast masses classification in mammograms.	IET Image Process.	2020	DBLP DOI BibTeX RDF
14	Ahmed S. Eltrass, Mohamed S. Salama	Fully automated scheme for computer-aided detection and breast cancer diagnosis using digitised mammograms.	IET Image Process.	2020	DBLP DOI BibTeX RDF
14	Hossein Soleimani, Oleg V. Michailovich	On Segmentation of Pectoral Muscle in Digital Mammograms by Means of Deep Learning.	IEEE Access	2020	DBLP DOI BibTeX RDF
14	Hayati Ture, Temel Kayikçioglu	Accurate Detection of Distorted Pectoral Muscle in Mammograms Using Specific Patterned Isocontours.	IEEE Access	2020	DBLP DOI BibTeX RDF
14	Kosmia Loizidou, Galateia Skouroumouni, Christos Nikolaou, Costas Pitris	An Automated Breast Micro-Calcification Detection and Classification Technique Using Temporal Subtraction of Mammograms.	IEEE Access	2020	DBLP DOI BibTeX RDF
14	Khaoula Belhaj Soulami, Naima Kaabouch, Mohamed Nabil Saidi, Ahmed Tamtaoui	An evaluation and ranking of evolutionary algorithms in segmenting abnormal masses in digital mammograms.	Multim. Tools Appl.	2020	DBLP DOI BibTeX RDF
14	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
14	Tianyu Shen, Chao Gou, Jiangong Wang, Fei-Yue Wang 0001	Simultaneous Segmentation and Classification of Mass Region From Mammograms Using a Mixed-Supervision Guided Deep Model.	IEEE Signal Process. Lett.	2020	DBLP DOI BibTeX RDF
14	Shankar Thawkar, Ranjana Ingolikar	Classification of Masses in Digital Mammograms Using the Genetic Ensemble Method.	J. Intell. Syst.	2020	DBLP DOI BibTeX RDF
14	Saleem Z. Ramadan	Using Convolutional Neural Network with Cheat Sheet and Data Augmentation to Detect Breast Cancer in Mammograms.	Comput. Math. Methods Medicine	2020	DBLP DOI BibTeX RDF
14	Felipe André Zeiser, Cristiano André da Costa, Tiago Zonta, Nuno M. C. Marques, Adriana Vial Roehe, Marcelo Moreno, Rodrigo da Rosa Righi	Segmentation of Masses on Mammograms Using Data Augmentation and Deep Learning.	J. Digit. Imaging	2020	DBLP DOI BibTeX RDF
14	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
14	Shankar Thawkar, Ranjana Ingolikar	Classification of masses in digital mammograms using Biogeography-based optimization technique.	J. King Saud Univ. Comput. Inf. Sci.	2020	DBLP DOI BibTeX RDF
14	Nan Wu, Zhe Huang 0005, Yiqiu Shen, Jungkyu Park 0001, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras	Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms.	CoRR	2020	DBLP BibTeX RDF
14	Hossein Soleimani, Oleg V. Michailovich	On segmentation of pectoralis muscle in digital mammograms by means of deep learning.	CoRR	2020	DBLP BibTeX RDF
14	Aparna Narendra Bhale, Manish Ratnakar Joshi	Descriptive analysis of computational methods for automating mammograms with practical applications.	CoRR	2020	DBLP BibTeX RDF
14	Eric Wu, Kevin Wu, William Lotter	Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms.	CoRR	2020	DBLP BibTeX RDF
14	Vikash Gupta, Clayton Taylor, Sarah Bonnet, Luciano M. Prevedello, Jeffrey Hawley, Richard D. White, Mona G. Flores, Barbaros Selnur Erdal	Deep Learning-Based Automatic Detection of Poorly Positioned Mammograms to Minimize Patient Return Visits for Repeat Imaging: A Real-World Application.	CoRR	2020	DBLP BibTeX RDF
14	Said Boumaraf, Xiabi Liu, Chokri Ferkous, Xiaohong Ma	A New Computer-Aided Diagnosis System with Modified Genetic Feature Selection for BI-RADS Classification of Breast Masses in Mammograms.	CoRR	2020	DBLP BibTeX RDF
14	Jairo A. Ayala-Godoy, Rosa E. Lillo, Juan Romo	Automatic elimination of the pectoral muscle in mammograms based on anatomical features.	CoRR	2020	DBLP BibTeX RDF
14	Sarath Chandra K, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet	A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms.	CoRR	2020	DBLP BibTeX RDF
14	Cyril Zakka, Ghida Saheb, Elie Najem, Ghina Berjawi	MammoGANesis: Controlled Generation of High-Resolution Mammograms for Radiology Education.	CoRR	2020	DBLP BibTeX RDF
14	Jaime Simarro, Zohaib Salahuddin, Ahmed Gouda, Anindo Saha	Leveraging SLIC Superpixel Segmentation and Cascaded Ensemble SVM for Fully Automated Mass Detection In Mammograms.	CoRR	2020	DBLP BibTeX RDF
14	Navid Razmjooy, Vania Vieira Estrela, Hermes Jose Loschi	Entropy-Based Breast Cancer Detection in Digital Mammograms Using World Cup Optimization Algorithm.	Int. J. Swarm Intell. Res.	2020	DBLP DOI BibTeX RDF
14	Yuanfang Guan, Xueqing Wang, Hongyang Li, Zhenning Zhang, Xianghao Chen, Omer Siddiqui, Sara Nehring, Xiuzhen Huang	Detecting Asymmetric Patterns and Localizing Cancers on Mammograms.	Patterns	2020	DBLP DOI BibTeX RDF
14	Raúl Cruz-Barbosa, Saiveth Hernández-Hernández, Luis Enrique Sucar	Mass segmentation of mammograms using Markov models associated with constrained clustering.	Medical Biol. Eng. Comput.	2020	DBLP DOI BibTeX RDF
14	Ridhi Arora, Prateek Kumar Rai, Balasubramanian Raman	Deep feature-based automatic classification of mammograms.	Medical Biol. Eng. Comput.	2020	DBLP DOI BibTeX RDF
14	Debendra Muduli, Ratnakar Dash, Banshidhar Majhi	Automated breast cancer detection in digital mammograms: A moth flame optimization based ELM approach.	Biomed. Signal Process. Control.	2020	DBLP DOI BibTeX RDF
14	Richa Agarwal 0002, Oliver Díaz, Moi Hoon Yap, Xavier Lladó, Robert Martí	Deep learning for mass detection in Full Field Digital Mammograms.	Comput. Biol. Medicine	2020	DBLP DOI BibTeX RDF
14	Andrik Rampun, Philip J. Morrow, Bryan W. Scotney, Hui Wang 0001	Breast density classification in mammograms: An investigation of encoding techniques in binary-based local patterns.	Comput. Biol. Medicine	2020	DBLP DOI BibTeX RDF
14	Ashish Negi, Saurabh Sharma	The Optimized Classification of Mammograms Based on the Antlion Technique.	Int. J. Grid High Perform. Comput.	2020	DBLP DOI BibTeX RDF
14	Mugahed A. Al-antari, Seung-Moo Han, Tae-Seong Kim 0001	Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms.	Comput. Methods Programs Biomed.	2020	DBLP DOI BibTeX RDF
14	Yanfeng Li 0001, Linlin Zhang, Houjin Chen, Lin Cheng	Mass detection in mammograms by bilateral analysis using convolution neural network.	Comput. Methods Programs Biomed.	2020	DBLP DOI BibTeX RDF
14	Rachida Touami, Karima Kies, Nacéra Benamrane	Detection of Microcalcifications on Mammograms.	Int. J. Softw. Sci. Comput. Intell.	2020	DBLP DOI BibTeX RDF
14	Rabie Fadil, Andie Jackson, Badr Abou El Majd, Hassan El Ghazi, Naima Kaabouch	Classification of Microcalcifications in Mammograms using 2D Discrete Wavelet Transform and Random Forest.	EIT	2020	DBLP DOI BibTeX RDF