Search results for "Mammograms"

Hits ?▲	Authors	Title	Venue	Year	Link
14	Erick Rodríguez-Esparza, Laura A. Zanella-Calzada, Diego Oliva, Marco Pérez-Cisneros	Automatic detection and classification of abnormal tissues on digital mammograms based on a bag-of-visual-words approach.	Medical Imaging: Computer-Aided Diagnosis	2020	DBLP DOI BibTeX RDF
14	Hang Min, Devin Wilson, Yinhuang Huang, Siyu Liu 0002, Stuart Crozier, Andrew P. Bradley, Shekhar S. Chandra	Fully Automatic Computer-aided Mass Detection and Segmentation via Pseudo-color Mammograms and Mask R-CNN.	ISBI	2020	DBLP DOI BibTeX RDF
14	George Apostolopoulos, Athanasios Koutras, Dionysios Anyfantis, Ioanna Christoyianni, Evaggelos Dermatas	Fusing Low-Level Visual Features and High-Level Semantic Features for Breast Cancer Diagnosis in Digital Mammograms.	BIBE	2020	DBLP DOI BibTeX RDF
14	Xuran Zhao, Luyang Yu, Xun Wang 0007	Cross-View Attention Network for Breast Cancer Screening from Multi-View Mammograms.	ICASSP	2020	DBLP DOI BibTeX RDF
14	Haipeng Li, Ramakrishnan Mukundan, Shelley Boyd	Robust Texture Features for Breast Density Classification in Mammograms.	ICARCV	2020	DBLP DOI 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.	EMBC	2020	DBLP DOI BibTeX RDF
14	Rocco Lamastra, Patrizio Barca, Maria Giuseppina Bisogni, Davide Caramella, V. Rosso, Raffaele M. Tucciariello, Antonio C. Traino, Maria Evelina Fantacci	Image Quality Comparison between Synthetic 2D Mammograms Obtained with 15º and 40º X-ray Tube Angular Range: A Quantitative Phantom Study.	BIOIMAGING	2020	DBLP DOI BibTeX RDF
14	Gloria Gonella, Marco Paracchini, Elisabetta Binaghi, Marco Marcon	Breast Lesion Detection from Mammograms Using Deep Convolutional Neural Networks.	ESSE	2020	DBLP DOI BibTeX RDF
14	Yuting Tang, Junfeng Wang 0001	Enhancement of Mammograms with Periphery Brightness Compensation.	ICSPCC	2020	DBLP DOI BibTeX RDF
14	Anita Rybialek, Lukasz Jelen	Application of DenseNets for Classification of Breast Cancer Mammograms.	CISIM	2020	DBLP DOI BibTeX RDF
14	Chandra Mohan Bhuma	Three Class Classification of Digital Mammograms using Chebyshev Moments and Convolutional Neural Network.	ICCCS	2020	DBLP DOI BibTeX RDF
14	Che-Lun Hung, Chun-Yuan Lin	GPU-Based Texture Analysis approach for Mammograms Institute of Biomedical Informatics.	BIBM	2020	DBLP DOI BibTeX RDF
14	Areej S. Aloufi, Abdulrahman AlNaeem, Abeer Almousa, Khaled Alzimami, Abdulrahman Alfuraih, Bader Alshahrani, Mohammed Zayed, Taghrid AlMashouq, Saud Alnasser, Khera Aldossari, Mona Alomrani, Iman Alzahrani, Elaine F. Harkness, Susan M. Astley	Breast density in Saudi Arabia: intra and inter reader variability in screening mammograms assessed visually using BI-RADS and visual analogue scales.	Medical Imaging: Image Perception, Observer Performance, and Technology Assessment	2020	DBLP DOI BibTeX RDF
14	Xiang Yu, Shuihua Wang	Abnormality Diagnosis in Mammograms by Transfer Learning Based on ResNet18.	Fundam. Informaticae	2019	DBLP DOI BibTeX RDF
14	Ricardo Wandré Dias Pedro, Ariane Machado-Lima, Fátima L. S. Nunes	Is mass classification in mammograms a solved problem? - A critical review over the last 20 years.	Expert Syst. Appl.	2019	DBLP DOI BibTeX RDF
14	Ahlem Melouah, Soumia Layachi	Novel automatic seed selection approach for mass detection in mammograms.	Int. J. Comput. Sci. Eng.	2019	DBLP DOI BibTeX RDF
14	Merati Medjeded, Saïd Mahmoudi, Abdelkader Chenine, Mohamed Chikh	A New Triplet Convolutional Neural Network for Classification of Lesions on Mammograms.	Rev. d'Intelligence Artif.	2019	DBLP DOI BibTeX RDF
14	Ramayanam Suresh, A. Nagaraja Rao, B. Eswara Reddy	Detection and classification of normal and abnormal patterns in mammograms using deep neural network.	Concurr. Comput. Pract. Exp.	2019	DBLP DOI BibTeX RDF
14	Yoshio Rubio, Oscar Montiel, Roberto Sepúlveda	Quantum inspired algorithm for microcalcification detection in mammograms.	Inf. Sci.	2019	DBLP DOI BibTeX RDF
14	Xiaoman Duan, Genggeng Qin, Qingqing Ling, Sina Wang, Zeyuan Xu, Hui Zeng, Bin Li 0050, Weiguo Chen, Linghong Zhou, Yuan Xu	Matching Corresponding Regions of Interest on Cranio-Caudal and Medio-Lateral Oblique View Mammograms.	IEEE Access	2019	DBLP DOI BibTeX RDF
14	Mohammed F. Alhamid	Investigation of mammograms in the cloud for smart healthcare.	Multim. Tools Appl.	2019	DBLP DOI BibTeX RDF
14	Khaoula Belhaj Soulami, Mohamed Nabil Saidi, Bouchra Honnit, Chaimae Anibou, Ahmed Tamtaoui	Detection of breast abnormalities in digital mammograms using the electromagnetism-like algorithm.	Multim. Tools Appl.	2019	DBLP DOI BibTeX RDF
14	Jinjin Hai, Hongna Tan, Jian Chen 0025, Minghui Wu, Kai Qiao, Jingbo Xu 0003, Lei Zeng, Fei Gao, Dapeng Shi, Bin Yan 0002	Multi-level features combined end-to-end learning for automated pathological grading of breast cancer on digital mammograms.	Comput. Medical Imaging Graph.	2019	DBLP DOI BibTeX RDF
14	Francesca Lizzi, Maria Evelina Fantacci, Piernicola Oliva	Deep-Learning Based Analyses of Mammograms to Improve the Estimation of Breast Cancer Risk.	ERCIM News	2019	DBLP BibTeX RDF
14	Andrik Rampun, Karen López-Linares, Philip J. Morrow, Bryan W. Scotney, Hui Wang 0001, Inmaculada Garcia Ocaña, Gregory Maclair, Reyer Zwiggelaar, Miguel Ángel González Ballester, Iván Macía	Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network.	Medical Image Anal.	2019	DBLP DOI BibTeX RDF
14	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
14	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
14	Suneeta Mall, Patrick C. Brennan, Claudia Mello-Thoms	Can a Machine Learn from Radiologists' Visual Search Behaviour and Their Interpretation of Mammograms - a Deep-Learning Study.	J. Digit. Imaging	2019	DBLP DOI BibTeX RDF
14	Subbiahpillai Neelakantapillai Kumar, A. Lenin Fred, P. Sebastin Varghese	Suspicious Lesion Segmentation on Brain, Mammograms and Breast MR Images Using New Optimized Spatial Feature Based Super-Pixel Fuzzy C-Means Clustering.	J. Digit. Imaging	2019	DBLP DOI BibTeX RDF
14	Ray Cody Mayo, Daniel Kent 0003, Lauren Chang Sen, Megha Kapoor, Jessica W. T. Leung, Alyssa T. Watanabe	Reduction of False-Positive Markings on Mammograms: a Retrospective Comparison Study Using an Artificial Intelligence-Based CAD.	J. Digit. Imaging	2019	DBLP DOI BibTeX RDF
14	Runze Wang, Yide Ma, Wenhao Sun, Yanan Guo 0001, Wendao Wang, Yunliang Qi, Xiaonan Gong	Multi-level nested pyramid network for mass segmentation in mammograms.	Neurocomputing	2019	DBLP DOI BibTeX RDF
14	Hang Min, Devin Wilson, Yinhuang Huang, Samuel Kelly, Stuart Crozier, Andrew P. Bradley, Shekhar S. Chandra	Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN.	CoRR	2019	DBLP BibTeX RDF
14	Ran Bakalo, Jacob Goldberger, Rami Ben-Ari	A dual branch deep neural network for classification and detection in mammograms.	CoRR	2019	DBLP BibTeX RDF
14	Ran Bakalo, Rami Ben-Ari, Jacob Goldberger	Classification and Detection in Mammograms with Weak Supervision via Dual Branch Deep Neural Net.	CoRR	2019	DBLP BibTeX RDF
14	Bilal Ahmed Lodhi	Unsupervised Method to Localize Masses in Mammograms.	CoRR	2019	DBLP BibTeX RDF
14	Kaiming Yin, Shiju Yan, Chengli Song, Bin Zheng 0001	A robust method for segmenting pectoral muscle in mediolateral oblique (MLO) mammograms.	Int. J. Comput. Assist. Radiol. Surg.	2019	DBLP DOI BibTeX RDF
14	Rongbo Shen, Kezhou Yan, Kuan Tian, Cheng Jiang 0001, Ke Zhou 0001	Breast mass detection from the digitized X-ray mammograms based on the combination of deep active learning and self-paced learning.	Future Gener. Comput. Syst.	2019	DBLP DOI BibTeX RDF
14	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
14	Lazaros T. Tsochatzidis, Lena Costaridou, Ioannis Pratikakis	Deep Learning for Breast Cancer Diagnosis from Mammograms - A Comparative Study.	J. Imaging	2019	DBLP DOI BibTeX RDF
14	Ana C. Perre, Luís A. Alexandre, Luís C. Freire	Lesion classification in mammograms using convolutional neural networks and transfer learning.	Comput. methods Biomech. Biomed. Eng. Imaging Vis.	2019	DBLP DOI BibTeX RDF
14	Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharon Alpert, Sharbell Y. Hasoul, Rami Ben-Ari, Ella Barkan	A CNN based method for automatic mass detection and classification in mammograms.	Comput. methods Biomech. Biomed. Eng. Imaging Vis.	2019	DBLP DOI BibTeX RDF
14	Amira Jouirou, Abir Baâzaoui, Walid Barhoumi	Multi-view information fusion in mammograms: A comprehensive overview.	Inf. Fusion	2019	DBLP DOI BibTeX RDF
14	Ganesh Ram Sinha, Bhagwati Charan Patel	Mammograms-Breast Cancer Images.		2019	DOI RDF
14	Juan Wang 0007, Yongyi Yang	A Hierarchical Learning Approach for Detection of Clustered Microcalcifications in Mammograms.	ICIP	2019	DBLP DOI BibTeX RDF
14	Khaoula Belhaj Soulami, Elias Ghribi, Mohamed Nabil Saidi, Ahmed Tamtaoui, Naima Kaabouch	Breast Cancer: Segmentation of Mammograms using Invasive Weed optimization and SUSAN algorithms.	EIT	2019	DBLP DOI BibTeX RDF
14	Rabie Fadil, Andie Jackson, Badr Abou El Majd, Hassan El Ghazi, Naima Kaabouch	Segmentation of Microcalcifications in Mammograms: A comparative Study.	EIT	2019	DBLP DOI BibTeX RDF
14	Haipeng Li, Ramakrishnan Mukundan, Shelley Boyd	A Novel Application of Multifractal Features for Detection of Microcalcifications in Digital Mammograms.	MIUA	2019	DBLP DOI BibTeX RDF
14	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
14	Giacomo Nebbia, Aly A. Mohamed, Ruimei Chai, Bingjie Zheng, Margarita L. Zuley, Shandong Wu	Deep learning of sub-regional breast parenchyma in mammograms for localized breast cancer risk prediction.	Medical Imaging: Computer-Aided Diagnosis	2019	DBLP DOI BibTeX RDF
14	Doiriel Vanegas C., Mahlet A. Birhanu, Nico Karssemeijer, Albert Gubern-Mérida, Michiel Kallenberg	A deep learning method for volumetric breast density estimation from processed full field digital mammograms.	Medical Imaging: Computer-Aided Diagnosis	2019	DBLP DOI BibTeX RDF
14	Dehan Kong, Yinhao Ren, Rui Hou 0002, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo	Synthesis and texture manipulation of screening mammograms using conditional generative adversarial network.	Medical Imaging: Computer-Aided Diagnosis	2019	DBLP DOI BibTeX RDF
14	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
14	Ran Bakalo, Rami Ben-Ari, Jacob Goldberger	Classification and Detection in Mammograms With Weak Supervision Via Dual Branch Deep Neural Net.	ISBI	2019	DBLP DOI BibTeX RDF
14	Vivek Kumar Singh 0008, Mohamed Abdel-Nasser, Hatem A. Rashwan, Farhan Akram, Rami Haffar, Nidhi Pandey, Md. Mostafa Kamal Sarker, Sebastian Kohan, Josep Guma, Santiago Romaní, Domenec Puig	Mass Detection in Mammograms Using a Robust Deep Learning Model.	CCIA	2019	DBLP DOI BibTeX RDF
14	Abdelali Elmoufidi	Pre-Processing Algorithms on Digital X-ray Mammograms.	ISC2	2019	DBLP DOI BibTeX RDF
14	Yutong Yan, Pierre-Henri Conze, Etienne Decencière, Mathieu Lamard, Gwenolé Quellec, Béatrice Cochener, Gouenou Coatrieux	Cascaded multi-scale convolutional encoder-decoders for breast mass segmentation in high-resolution mammograms.	EMBC	2019	DBLP DOI BibTeX RDF
14	Ricardo Wandré Dias Pedro, Ariane Machado-Lima, Fátima L. S. Nunes	A New Syntactic Approach for Masses Classification in Digital Mammograms.	CBMS	2019	DBLP DOI BibTeX RDF
14	Patrizio Barca, Rocco Lamastra, Davide Caramella, Antonio C. Traino, Raffaele M. Tucciariello, Maria Evelina Fantacci	Image Quality Comparison between Digital and Synthetic 2D Mammograms: A Qualitative and Quantitative Phantom Study.	BIOIMAGING	2019	DBLP DOI BibTeX RDF
14	Erick Rodríguez-Esparza, Laura A. Zanella-Calzada, Diego Oliva, Salvador Hinojosa, Marco Antonio Pérez Cisneros	Multilevel segmentation for automatic detection of malignant masses in digital mammograms based on threshold comparison.	LA-CCI	2019	DBLP DOI BibTeX RDF
14	Zhenjie Cao, Zhicheng Yang, Yanbo Zhang, Ruei-Sung Lin, Shibin Wu, Lingyun Huang, Mei Han, Jie Ma	Deep Learning Based Mass Detection in Mammograms.	GlobalSIP	2019	DBLP DOI BibTeX RDF
14	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
14	Magdalena Jasionowska, Aleksandra Gacek	Wavelet Convolution Neural Network for Classification of Spiculated Findings in Mammograms.	ITIB	2019	DBLP DOI BibTeX RDF
14	Zhenjie Cao, Zhicheng Yang, Xiaoyan Zhuo, Ruei-Sung Lin, Shibin Wu, Lingyun Huang, Mei Han, Yanbo Zhang, Jie Ma	DeepLIMa: Deep Learning Based Lesion Identification in Mammograms.	ICCV Workshops	2019	DBLP DOI BibTeX RDF
14	Chunze Lin, Ruixiang Tang, Darryl D. Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao 0001, Jie Zhou 0001	Breast Mass Detection in Mammograms via Blending Adversarial Learning.	SASHIMI@MICCAI	2019	DBLP DOI BibTeX RDF
14	Mickael Tardy, Bruno Scheffer, Diana Mateus	Uncertainty Measurements for the Reliable Classification of Mammograms.	MICCAI (6)	2019	DBLP DOI BibTeX RDF
14	S. Sasikala, M. Bharathi, M. Ezhilarasi, S. Arunkumar	Breast Cancer Detection Based on Medio-Lateral ObliqueView and Cranio-Caudal View Mammograms: An Overview.	iCAST	2019	DBLP DOI BibTeX RDF
14	Suneeta Mall, Elizabeth A. Krupinski, Claudia Mello-Thoms	Missed cancer and visual search of mammograms: what feature based machine-learning can tell us that deep-convolution learning cannot.	Medical Imaging: Image Perception, Observer Performance, and Technology Assessment	2019	DBLP DOI BibTeX RDF
14	Runze Wang, Yanan Guo 0001, Wendao Wang, Yide Ma	Bi-ResNet: Fully Automated Classification of Unregistered Contralateral Mammograms.	ICANN (Workshop)	2019	DBLP DOI BibTeX RDF
14	Zhenjie Cao, Zhicheng Yang, Xinya Liu, Yanbo Zhang, Shibin Wu, Ruei-Sung Lin, Lingyun Huang, Mei Han, Jie Ma	Deep Learning Based Lesion Detection For Mammograms.	ICHI	2019	DBLP DOI BibTeX RDF
14	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
14	V. Sivakrithika, K. Dinakaran	Subclass based parallel learning neural network for classification of masses in mammograms.	Des. Autom. Embed. Syst.	2018	DBLP DOI BibTeX RDF
14	Idil Isikli Esener, Semih Ergin, Tolga Yüksel	A novel multistage system for the detection and removal of pectoral muscles in mammograms.	Turkish J. Electr. Eng. Comput. Sci.	2018	DBLP DOI BibTeX RDF
14	Hamed Khodadadi, Ali Khaki-Sedigh, Mohammad Ataei, Mohammad Reza Jahed-Motlagh	Applying a modified version of Lyapunov exponent for cancer diagnosis in biomedical images: the case of breast mammograms.	Multidimens. Syst. Signal Process.	2018	DBLP DOI BibTeX RDF
14	Juan Wang 0002, Yongyi Yang	A context-sensitive deep learning approach for microcalcification detection in mammograms.	Pattern Recognit.	2018	DBLP DOI BibTeX RDF
14	Rihab Lajili, Karim Kalti, Asma Touil, Basel Solaiman, Najoua Essoukri Ben Amara	Two-step evidential fusion approach for accurate breast region segmentation in mammograms.	IET Image Process.	2018	DBLP DOI BibTeX RDF
14	Kanchan Lata Kashyap, Manish Kumar Bajpai, Pritee Khanna, George C. Giakos	Mesh-free approach for enhancement of mammograms.	IET Image Process.	2018	DBLP DOI BibTeX RDF
14	Jinn-Yi Yeh, Si-Wa Chan	Decomposition and recompilation of mammograms for breast tumour detection.	Expert Syst. J. Knowl. Eng.	2018	DBLP DOI BibTeX RDF
14	Sevastianos E. Chatzistergos, Ioannis Andreadis, Konstantina S. Nikita	Identification of architectural distortions in mammograms using local binary patterns and radial lengths through an exhaustive evaluation framework.	Expert Syst. J. Knowl. Eng.	2018	DBLP DOI BibTeX RDF
14	Kanchan Lata Kashyap, Manish Kumar Bajpai, Pritee Khanna	An efficient algorithm for mass detection and shape analysis of different masses present in digital mammograms.	Multim. Tools Appl.	2018	DBLP DOI BibTeX RDF
14	P. S. Vikhe, V. R. Thool	Morphological operation and scaled Réyni entropy based approach for masses detection in mammograms.	Multim. Tools Appl.	2018	DBLP DOI BibTeX RDF
14	Imad Zyout, Roberto Togneri	A computer-aided detection of the architectural distortion in digital mammograms using the fractal dimension measurements of BEMD.	Comput. Medical Imaging Graph.	2018	DBLP DOI BibTeX RDF
14	Mugahed A. Al-antari, Mohammed A. Al-masni, Mun-Taek Choi, Seung-Moo Han, Tae-Seong Kim 0001	A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.	Int. J. Medical Informatics	2018	DBLP DOI BibTeX RDF
14	Edson Damasceno Carvalho, Antonio Oseas de Carvalho Filho, Alcilene Dalília de Sousa, Aristófanes Corrêa Silva, Marcelo Gattass	Method of differentiation of benign and malignant masses in digital mammograms using texture analysis based on phylogenetic diversity.	Comput. Electr. Eng.	2018	DBLP DOI BibTeX RDF
14	Rongbo Shen, Kezhou Yan, Fen Xiao, Jia Chang, Cheng Jiang 0001, Ke Zhou 0001	Automatic Pectoral Muscle Region Segmentation in Mammograms Using Genetic Algorithm and Morphological Selection.	J. Digit. Imaging	2018	DBLP DOI BibTeX RDF
14	Hui Sun, Cheng Li 0008, Boqiang Liu, Shanshan Wang 0002	AUNet: Breast Mass Segmentation of Whole Mammograms.	CoRR	2018	DBLP BibTeX RDF
14	Aupendu Kar, Sri Phani Krishna Karri, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet	Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms.	CoRR	2018	DBLP BibTeX RDF
14	Heyi Li, Dongdong Chen 0004, Bill Nailon, Mike E. Davies 0001, Dave Laurenson	Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-net.	CoRR	2018	DBLP BibTeX 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 Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks.	CoRR	2018	DBLP BibTeX RDF
14	B. V. Divyashree, Amarnath R, Naveen M, G. Hemantha Kumar 0001	Novel approach to locate region of interest in mammograms for Breast cancer.	CoRR	2018	DBLP BibTeX RDF
14	Tariq Sadad, Asim Munir, Tanzila Saba, Ayyaz Hussain	Fuzzy C-means and region growing based classification of tumor from mammograms using hybrid texture feature.	J. Comput. Sci.	2018	DBLP DOI BibTeX RDF
14	Zobia Suhail, Erika R. E. Denton, Reyer Zwiggelaar	Classification of micro-calcification in mammograms using scalable linear Fisher discriminant analysis.	Medical Biol. Eng. Comput.	2018	DBLP DOI BibTeX RDF
14	Peng Shi, Jing Zhong, Andrik Rampun, Hui Wang 0001	A hierarchical pipeline for breast boundary segmentation and calcification detection in mammograms.	Comput. Biol. Medicine	2018	DBLP DOI BibTeX RDF
14	Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty	Neighborhood Structural Similarity Mapping for the Classification of Masses in Mammograms.	IEEE J. Biomed. Health Informatics	2018	DBLP DOI BibTeX RDF
14	J. Kamalakannan, M. Rajasekhara Babu	Classification of breast abnormality using decision tree based on GLCM features in mammograms.	Int. J. Comput. Aided Eng. Technol.	2018	DBLP DOI BibTeX RDF
14	João Otávio Bandeira Diniz, Pedro Henrique Bandeira Diniz, Thales Levi Azevedo Valente, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass	Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks.	Comput. Methods Programs Biomed.	2018	DBLP DOI BibTeX RDF
14	Wenqing Sun, Tzu-Liang (Bill) Tseng, Wei Qian 0001, Edward C. Saltzstein, Bin Zheng 0001, Hui Yu, Shi Zhou	A new near-term breast cancer risk prediction scheme based on the quantitative analysis of ipsilateral view mammograms.	Comput. Methods Programs Biomed.	2018	DBLP DOI BibTeX RDF
14	Suhas G. Sapate, Abhishek Mahajan, Sanjay N. Talbar, Nilesh Sable, Subhash Desai, Meenakshi Thakur	Radiomics based detection and characterization of suspicious lesions on full field digital mammograms.	Comput. Methods Programs Biomed.	2018	DBLP DOI BibTeX RDF
14	Mohammed A. Al-masni, Mugahed A. Al-antari, Jeong-min Park, Geon Gi, Tae-Yeon Kim, Patricio Rivera, Edwin Valarezo, Mun-Taek Choi, Seung-Moo Han, Tae-Seong Kim 0001	Simultaneous Detection and Classification of Breast Masses in Digital Mammograms via a Deep Learning YOLO-based CAD System.	Comput. Methods Programs Biomed.	2018	DBLP DOI BibTeX RDF
14	Mohammad Kazem Ebrahimpour, Hamid Mirvaziri, Vahid Sattari Naeini	Improving breast cancer classification by dimensional reduction on mammograms.	Comput. methods Biomech. Biomed. Eng. Imaging Vis.	2018	DBLP DOI BibTeX RDF
14	Ashwanth Unni, Nidheep Eg, Saurav Vinod, Lekha S. Nair	Tumour Detection in Double Threshold Segmented Mammograms Using Optimized GLCM Features fed SVM.	ICACCI	2018	DBLP DOI BibTeX RDF