Search results for "Mammograms"

Hits ?▲	Authors	Title	Venue	Year	Link
14	Chisako Muramatsu, Shunichi Higuchi, Takako Morita, Mikinao Oiwa, Hiroshi Fujita 0001	Similarity estimation for reference image retrieval in mammograms using convolutional neural network.	Medical Imaging: Computer-Aided Diagnosis	2018	DBLP DOI BibTeX RDF
14	Gopichandh Danala, Faranak Aghaei, Morteza Heidari, Teresa Wu, Bhavika Patel, Bin Zheng 0001	Computer-aided classification of breast masses using contrast-enhanced digital mammograms.	Medical Imaging: Computer-Aided Diagnosis	2018	DBLP DOI BibTeX RDF
14	Sarah S. Aboutalib, Aly A. Mohamed, Margarita L. Zuley, Wendie A. Berg, Yahong Luo, Shandong Wu	Do pre-trained deep learning models improve computer-aided classification of digital mammograms?	Medical Imaging: Computer-Aided Diagnosis	2018	DBLP DOI BibTeX RDF
14	Wentao Zhu 0001, Xiang Xiang 0001, Trac D. Tran, Gregory D. Hager, Xiaohui Xie	Adversarial deep structured nets for mass segmentation from mammograms.	ISBI	2018	DBLP DOI BibTeX RDF
14	Andrik Rampun, Bryan W. Scotney, Philip J. Morrow, Hui Wang 0001	Breast Mass Classification in Mammograms using Ensemble Convolutional Neural Networks.	HealthCom	2018	DBLP DOI BibTeX RDF
14	Juan Wang 0007, Yongyi Yang	Context-Sensitive Deep Learning for Detection of Clustered Micro Calcifications in Mammograms.	ICASSP	2018	DBLP DOI BibTeX RDF
14	Tal Tlusty, Guy Amit, Rami Ben-Ari	Unsupervised clustering of mammograms for outlier detection and breast density estimation.	ICPR	2018	DBLP DOI BibTeX RDF
14	Melissa L. Hill, Patsy J. Whelehan, Sarah J. Vinnicombe, Christopher E. Tromans, Andrew Evans, Violet R. Warwick, J. Michael Brady, Ralph P. Highnam	Development of an automated detection algorithm for patient motion blur in digital mammograms.	IWBI	2018	DBLP DOI BibTeX RDF
14	Xiangyuan Ma, Jun Wei 0002, Chuan Zhou 0002, Heang-Ping Chan, Lubomir M. Hadjiiski, Yao Lu 0007	Fully automated pectoral muscle identification on MLO-view mammograms with deep convolutional neural network.	IWBI	2018	DBLP DOI BibTeX RDF
14	Richa Agarwal 0002, Oliver Díaz, Xavier Lladó, Robert Martí	Mass detection in mammograms using pre-trained deep learning models.	IWBI	2018	DBLP DOI BibTeX RDF
14	Shuyue Guan, Murray H. Loew	Breast cancer detection using synthetic mammograms from generative adversarial networks in convolutional neural networks.	IWBI	2018	DBLP DOI BibTeX RDF
14	Ziba Gandomkar, Ernest U. Ekpo, Sarah J. Lewis 0001, Karla K. Evans, Kriscia Tapia, Phuong Dung Trieu, Jeremy M. Wolfe, Patrick C. Brennan	Detection of the abnormal gist in the prior mammograms even with no overt sign of breast cancer.	IWBI	2018	DBLP DOI BibTeX RDF
14	Chisako Muramatsu, Shunichi Higuchi, Takako Morita, Mikinao Oiwa, Tomonori Kawasaki, Hiroshi Fujita 0001	Retrieval of reference images of breast masses on mammograms by similarity space modeling.	IWBI	2018	DBLP DOI BibTeX RDF
14	Zobia Suhail, Arif Mahmood, Erika R. E. Denton, Reyer Zwiggelaar	Bag of visual words based approach for the classification of benign and malignant masses in mammograms using voting-based feature encoding.	IWBI	2018	DBLP DOI BibTeX RDF
14	Yelda Semizer, Melchi M. Michel, Karla K. Evans, Jeremy M. Wolfe	Texture as a Diagnostic Signal in Mammograms.	CogSci	2018	DBLP BibTeX RDF
14	Mohammad Alkhaleefah, Chao-Cheng Wu	A Hybrid CNN and RBF-Based SVM Approach for Breast Cancer Classification in Mammograms.	SMC	2018	DBLP DOI 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.	CVPR Workshops	2018	DBLP BibTeX RDF
14	Heyi Li, Dongdong Chen 0004, William H. Nailon, Mike E. Davies 0001, David Laurenson	Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net.	RAMBO+BIA+TIA@MICCAI	2018	DBLP DOI BibTeX RDF
14	David González-Patiño, Yenny Villuendas-Rey, Amadeo José Argüelles-Cruz	The Potential Use of Bioinspired Algorithms Applied in the Segmentation of Mammograms.	KDIR	2018	DBLP DOI BibTeX RDF
14	Yifan Wu, Weifeng Shi, Lei Cui 0004, Hongyu Wang 0007, Qirong Bu, Jun Feng 0003	Automatic Mass Detection from Mammograms with Region-Based Convolutional Neural Network.	IGTA	2018	DBLP DOI BibTeX RDF
14	G. Prathibha, B. Chandra Mohan	Mammograms Classification Using Multiresolution Transforms and Convolution Neural Networks.	ICCCNT	2018	DBLP DOI BibTeX RDF
14	Krishna Chaitanya Tatikonda, Chandra Mohan Bhuma, Samayamantula Srinivas Kumar	The Analysis of Digital Mammograms Using HOG and GLCM Features.	ICCCNT	2018	DBLP DOI BibTeX RDF
14	Jiheng Wang, Berkman Sahiner, Nicholas Petrick, Aria Pezeshk	A database for assessment of effect of lossy compression on digital mammograms.	Medical Imaging: Image Perception, Observer Performance, and Technology Assessment	2018	DBLP DOI BibTeX RDF
14	Ilhame Ait Lbachir, Imane Daoudi, Saadia Tallal	Automatic detection of suspicious lesions in mammograms by histogram-peak-analysis based K-means.	ISIVC	2018	DBLP DOI BibTeX RDF
14	Xin Zhao, Xianheng Wang, Hongkai Wang	Classification of Benign and Malignant Breast Mass in Digital Mammograms with Convolutional Neural Networks.	ISICDM	2018	DBLP DOI BibTeX RDF
14	Shara Feld, Kaitlin M. Woo, Roxana Alexandridis, Yirong Wu, Jie Liu 0006, Peggy L. Peissig, Adedayo A. Onitilo, Jennifer Cox, David Page, Elizabeth S. Burnside	Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants.	AMIA	2018	DBLP BibTeX RDF
14	Juan Wang 0002, Huanjun Ding, Fatemeh Azamian Bidgoli, Brian Zhou, Carlos Iribarren, Sabee Molloi, Pierre Baldi	Detecting Cardiovascular Disease from Mammograms With Deep Learning.	IEEE Trans. Medical Imaging	2017	DBLP DOI BibTeX RDF
14	Gustavo Carneiro 0001, Jacinto C. Nascimento, Andrew P. Bradley	Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning.	IEEE Trans. Medical Imaging	2017	DBLP DOI BibTeX RDF
14	Ziba Gandomkar, Kevin Tay, Will Ryder, Patrick C. Brennan, Claudia Mello-Thoms	iCAP: An Individualized Model Combining Gaze Parameters and Image-Based Features to Predict Radiologists' Decisions While Reading Mammograms.	IEEE Trans. Medical Imaging	2017	DBLP DOI BibTeX RDF
14	Farzaneh Moradkhani, Bahram Sadeghi Bigham	A New Image Mining Approach for Detecting Micro-Calcification in Digital Mammograms.	Appl. Artif. Intell.	2017	DBLP DOI BibTeX RDF
14	Rekha Lakshmanan, Shiji T. P., Suma Mariam Jacob, Thara Pratab, Chinchu Thomas, Vinu Thomas	Detection of architectural distortion in mammograms using geometrical properties of thinned edge structures.	Intell. Autom. Soft Comput.	2017	DBLP DOI BibTeX RDF
14	Min Dong 0003, Zhe Wang, Chenghui Dong, Xiaomin Mu, Yide Ma	Classification of Region of Interest in Mammograms Using Dual Contourlet Transform and Improved KNN.	J. Sensors	2017	DBLP DOI BibTeX RDF
14	Indrajeet Kumar, Harvendra Singh Bhadauria, Jitendra Virmani, Shruti Thakur	A hybrid hierarchical framework for classification of breast density using digitized film screen mammograms.	Multim. Tools Appl.	2017	DBLP DOI BibTeX RDF
14	Neeraj Dhungel, Gustavo Carneiro 0001, Andrew P. Bradley	A deep learning approach for the analysis of masses in mammograms with minimal user intervention.	Medical Image Anal.	2017	DBLP DOI BibTeX RDF
14	Marcin Ciecholewski	Malignant and Benign Mass Segmentation in Mammograms Using Active Contour Methods.	Symmetry	2017	DBLP DOI BibTeX RDF
14	Andrik Rampun, Philip J. Morrow, Bryan W. Scotney, Robert John Winder	Fully automated breast boundary and pectoral muscle segmentation in mammograms.	Artif. Intell. Medicine	2017	DBLP DOI BibTeX RDF
14	Sheng-Chih Yang	A robust approach for subject segmentation of medical Images: Illustration with mammograms and breast magnetic resonance images.	Comput. Electr. Eng.	2017	DBLP DOI BibTeX RDF
14	Marcin Ciecholewski	Microcalcification Segmentation from Mammograms: A Morphological Approach.	J. Digit. Imaging	2017	DBLP DOI BibTeX RDF
14	Dezso Ribli, Anna Horváth, Zsuzsa Unger, Péter Pollner, István Csabai	Detecting and classifying lesions in mammograms with Deep Learning.	CoRR	2017	DBLP BibTeX RDF
14	Wentao Zhu 0001, Xiang Xiang 0001, Trac D. Tran, Gregory D. Hager, Xiaohui Xie	Adversarial Deep Structured Nets for Mass Segmentation from Mammograms.	CoRR	2017	DBLP BibTeX RDF
14	Fabián Narváez, Jorge Alvarez, Juan D. García-Arteaga, Jonathan Tarquino, Eduardo Romero 0001	Characterizing Architectural Distortion in Mammograms by Linear Saliency.	J. Medical Syst.	2017	DBLP DOI BibTeX RDF
14	Abbas H. Hassin Alasadi, Ahmed Kadem Hamed Al-Saedi	A Method for Microcalcifications Detection in Breast Mammograms.	J. Medical Syst.	2017	DBLP DOI BibTeX RDF
14	Kanchan Lata Kashyap, Manish Kumar Bajpai, Pritee Khanna	Globally supported radial basis function based collocation method for evolution of level set in mass segmentation using mammograms.	Comput. Biol. Medicine	2017	DBLP DOI BibTeX RDF
14	Paola Casti, Arianna Mencattini, Marcello Salmeri, Antonietta Ancona, M. Lorusso, Maria Luisa Pepe, Corrado Di Natale, Eugenio Martinelli	Towards localization of malignant sites of asymmetry across bilateral mammograms.	Comput. Methods Programs Biomed.	2017	DBLP DOI BibTeX RDF
14	J. Anitha 0004, J. Dinesh Peter, S. Immanuel Alex Pandian	A dual stage adaptive thresholding (DuSAT) for automatic mass detection in mammograms.	Comput. Methods Programs Biomed.	2017	DBLP DOI BibTeX RDF
14	Luis Antonio Salazar-Licea, Jesús Carlos Pedraza Ortega, Alberto Pastrana Palma, Marco Antonio Aceves-Fernández	Location of mammograms ROI's and reduction of false-positive.	Comput. Methods Programs Biomed.	2017	DBLP DOI BibTeX RDF
14	Saraswathi Duraisamy, Srinivasan Emperumal	A high-sensitivity computer-aided system for detecting microcalcifications in digital mammograms using curvelet fractal texture features.	Comput. methods Biomech. Biomed. Eng. Imaging Vis.	2017	DBLP DOI BibTeX RDF
14	Zainul Abdin Jaffery, Zaheeruddin, Laxman Singh	Computerised segmentation of suspicious lesions in the digital mammograms.	Comput. methods Biomech. Biomed. Eng. Imaging Vis.	2017	DBLP DOI BibTeX RDF
14	Neeraj Dhungel, Gustavo Carneiro 0001, Andrew P. Bradley	Combining Deep Learning and Structured Prediction for Segmenting Masses in Mammograms.	Deep Learning and Convolutional Neural Networks for Medical Image Computing	2017	DBLP DOI BibTeX RDF
14	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
14	Jaime S. Cardoso 0001, Nuno Marques, Neeraj Dhungel, Gustavo Carneiro 0001, Andrew P. Bradley	Mass segmentation in mammograms: A cross-sensor comparison of deep and tailored features.	ICIP	2017	DBLP DOI BibTeX RDF
14	Zobia Suhail, Azam Hamidinekoo, Erika R. E. Denton, Reyer Zwiggelaar	A Texton-Based Approach for the Classification of Benign and Malignant Masses in Mammograms.	MIUA	2017	DBLP DOI BibTeX RDF
14	Andrik Rampun, Philip J. Morrow, Bryan W. Scotney, Robert John Winder	Breast Density Classification Using Multiresolution Local Quinary Patterns in Mammograms.	MIUA	2017	DBLP DOI BibTeX RDF
14	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
14	Hang Min, Shekhar S. Chandra, Neeraj Dhungel, Stuart Crozier, Andrew P. Bradley	Multi-scale mass segmentation for mammograms via cascaded random forests.	ISBI	2017	DBLP DOI BibTeX RDF
14	Rami Ben-Ari, Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharbell Y. Hashoul	Domain specific convolutional neural nets for detection of architectural distortion in mammograms.	ISBI	2017	DBLP DOI BibTeX RDF
14	Neeraj Dhungel, Gustavo Carneiro 0001, Andrew P. Bradley	Fully automated classification of mammograms using deep residual neural networks.	ISBI	2017	DBLP DOI BibTeX RDF
14	Vivek Kumar Singh 0008, Santiago Romaní, Jordina Torrents-Barrena, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Meritxell Arenas, Miguel Arquez, Domenec Puig	Classification of Breast Cancer Molecular Subtypes from Their Micro-Texture in Mammograms Using a VGGNet-Based Convolutional Neural Network.	CCIA	2017	DBLP DOI BibTeX RDF
14	Marwa Hmida, Kamel Hamrouni, Basel Solaiman, Sana Boussetta	Breast mass segmentation in mammograms combining fuzzy c-means and active contours.	ICMV	2017	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, Seung-Moo Han, Tae-Seong Kim 0001	Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network.	EMBC	2017	DBLP DOI BibTeX RDF
14	Egemen Sert, Seyda Ertekin, Ugur Halici	Ensemble of convolutional neural networks for classification of breast microcalcification from mammograms.	EMBC	2017	DBLP DOI BibTeX RDF
14	Nasrin Tavakoli, Maryam Karimi, Mansour Nejati, Nader Karimi, S. M. Reza Soroushmehr, Shadrokh Samavi, Kayvan Najarian	Abnormality detection of mammograms by discriminative dictionary learning on DSIFT descriptors.	EMBC	2017	DBLP DOI BibTeX RDF
14	Taye Girma Debelee, Mohammadreza Amirian, Achim Ibenthal, Günther Palm, Friedhelm Schwenker	Classification of Mammograms Using Convolutional Neural Network Based Feature Extraction.	ICT4DA	2017	DBLP DOI BibTeX RDF
14	Israel Yañez-Vargas, Gabriel Aguilera-Gonzalez, Sheila Esmeralda González-Reyna, Andrea Gonzalez-Ramirez, Felipe Astudillo-Montenegro	A comparative study on super-resolution methods for enhanced micro, macro and calcification on digital mammograms: Multi-scale iterative resolution with wavelet and cosine transform.	CONIELECOMP	2017	DBLP DOI BibTeX RDF
14	Israel Yañez-Vargas, Sheila Esmeralda González-Reyna, Andrea Gonzalez-Ramirez, Itzel Guerrero-Gasca, Felipe Astudillo-Montenegro	Super-resolution of mammograms based on analysis of wavelet family and iterative scales.	CONIELECOMP	2017	DBLP DOI BibTeX RDF
14	Khaoula Belhaj Soulami, Mohamed Nabil Saidi, Ahmed Tamtaoui	A CAD system for the detection and classification of abnormalities in dense mammograms using electromagnetism-like optimization algorithm.	ATSIP	2017	DBLP DOI BibTeX RDF
14	Kanchan Lata Kashyap, Manish Kumar Bajpai, Pritee Khanna	Breast Tissue Density Classification in Mammograms Based on Supervised Machine Learning Technique.	COMPUTE	2017	DBLP DOI BibTeX RDF
14	Jinn-Yi Yeh, Siwa Chan	Population-based metaheuristic approaches for feature selection on mammograms.	ICA	2017	DBLP DOI BibTeX RDF
14	Eloy García 0001, Arnau Oliver, Oliver Díaz, Yago Diez, Albert Gubern-Mérida, Robert Marti, Joan Martí	Mapping 3D breast lesions from full-field digital mammograms using subject-specific finite element models.	Medical Imaging: Image-Guided Procedures	2017	DBLP DOI BibTeX RDF
14	B. Kiran Bala, S. Audithan	Spectral Graph Wavelets for the Classification of Microcalcifications in Mammograms.	SmartCloud	2017	DBLP DOI BibTeX RDF
14	Cyrille Feudjio, Alain Tiedeu, John Klein, Olivier Colot	Automatic Extraction of Breast Region in Raw Mammograms Using a Combined Strategy.	SITIS	2017	DBLP DOI BibTeX RDF
14	Hayati Ture, Temel Kayikçioglu	Detection and segmentation of masses in mammograms by the rule based elimination approach.	SIU	2017	DBLP DOI BibTeX RDF
14	Andrik Rampun, Philip J. Morrow, Bryan W. Scotney, Robert John Winder	Breast Density Classification Using Local Ternary Patterns in Mammograms.	ICIAR	2017	DBLP DOI BibTeX RDF
14	Simara Vieira da Rocha, Geraldo Braz Junior, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass	Texture analysis of masses malignant in mammograms images using a combined approach of diversity index and local binary patterns distribution.	Expert Syst. Appl.	2016	DBLP DOI BibTeX RDF
14	Yanfeng Li 0001, Houjin Chen, Xue-Ye Wei, Yahui Peng, Lin Cheng	Mass classification in mammograms based on two-concentric masks and discriminating texton.	Pattern Recognit.	2016	DBLP DOI BibTeX RDF
14	Joel Quintanilla-Domínguez, J. Miguel Barrón-Adame, José Antonio Gordillo-Sosa, José Merced Lozano-García, Héctor Javier Estrada-García, Rafael Guzmán-Cabrera	Analysis of Mammograms using Texture Segmentation.	Res. Comput. Sci.	2016	DBLP BibTeX RDF
14	Jinn-Yi Yeh, Si-Wa Chan, Tai-Hsi Wu	Mining Breast Cancer Classification Rules from Mammograms.	J. Intell. Syst.	2016	DBLP BibTeX RDF
14	Amit Kamra, V. K. Jain, Sukhwinder Singh, Sunil Mittal	Characterization of Architectural Distortion in Mammograms Based on Texture Analysis Using Support Vector Machine Classifier with Clinical Evaluation.	J. Digit. Imaging	2016	DBLP DOI BibTeX RDF
14	Vibha Bafna Bora, Ashwin G. Kothari, Avinash G. Keskar	Robust Automatic Pectoral Muscle Segmentation from Mammograms Using Texture Gradient and Euclidean Distance Regression.	J. Digit. Imaging	2016	DBLP DOI BibTeX RDF
14	Zhen Yang, Min Dong 0003, Ya'nan Guo 0001, Xiaoli Gao, Keju Wang, Bin Shi, Yide Ma	A new method of micro-calcifications detection in digitized mammograms based on improved simplified PCNN.	Neurocomputing	2016	DBLP DOI BibTeX RDF
14	Zhi Lu, Gustavo Carneiro 0001, Neeraj Dhungel, Andrew P. Bradley	Automated Detection of Individual Micro-calcifications from Mammograms using a Multi-stage Cascade Approach.	CoRR	2016	DBLP BibTeX RDF
14	Chao Wang	A novel and automatic pectoral muscle identification algorithm for mediolateral oblique (MLO) view mammograms using ImageJ.	CoRR	2016	DBLP BibTeX RDF
14	Daniel Lévy, Arzav Jain	Breast Mass Classification from Mammograms using Deep Convolutional Neural Networks.	CoRR	2016	DBLP BibTeX RDF
14	Marek R. Ogiela, Natalia Krzyworzeka	Heuristic approach for computer-aided lesion detection in mammograms.	Soft Comput.	2016	DBLP DOI BibTeX RDF
14	Nebi Gedik	A new feature extraction method based on multi-resolution representations of mammograms.	Appl. Soft Comput.	2016	DBLP DOI BibTeX RDF
14	Sheeba Jenifer, S. Parasuraman, Amudha Kadirvelu	Contrast enhancement and brightness preserving of digital mammograms using fuzzy clipped contrast-limited adaptive histogram equalization algorithm.	Appl. Soft Comput.	2016	DBLP DOI BibTeX RDF
14	Nebi Gedik, Ayten Atasoy, Yusuf Sevim	Investigation of wave atom transform by using the classification of mammograms.	Appl. Soft Comput.	2016	DBLP DOI BibTeX RDF
14	Mario Mustra, Mislav Grgic, Rangaraj M. Rangayyan	Review of recent advances in segmentation of the breast boundary and the pectoral muscle in mammograms.	Medical Biol. Eng. Comput.	2016	DBLP DOI BibTeX RDF
14	Chisako Muramatsu, Takeshi Hara, Tokiko Endo, Hiroshi Fujita 0001	Breast mass classification on mammograms using radial local ternary patterns.	Comput. Biol. Medicine	2016	DBLP DOI BibTeX RDF
14	Hela Mahersia, Hela Boulehmi, Kamel Hamrouni	Development of intelligent systems based on Bayesian regularization network and neuro-fuzzy models for mass detection in mammograms: A comparative analysis.	Comput. Methods Programs Biomed.	2016	DBLP DOI BibTeX RDF
14	W. Peng, René V. Mayorga, Esam M. A. Hussein	An automated confirmatory system for analysis of mammograms.	Comput. Methods Programs Biomed.	2016	DBLP DOI BibTeX RDF
14	Yanan Guo 0001, Min Dong 0003, Zhen Yang, Xiaoli Gao, Keju Wang, Chongfan Luo, Yide Ma, Jiuwen Zhang	A new method of detecting micro-calcification clusters in mammograms using contourlet transform and non-linking simplified PCNN.	Comput. Methods Programs Biomed.	2016	DBLP DOI BibTeX RDF
14	Juan Wang 0007, Yongyi Yang, Robert M. Nishikawa	Quantitative study of image features of clustered microcalcifications in for-presentation mammograms.	ICIP	2016	DBLP DOI BibTeX RDF
14	Abdelali Elmoufidi, Khalid El Fahssi, Said Jai-Andaloussi, Abderrahim Sekkaki, Gwenolé Quellec, Mathieu Lamard, Guy Cazuguel	Automatic Detection of Suspicious Lesions in Digital X-ray Mammograms.	UNet	2016	DBLP DOI BibTeX RDF
14	Khaoula Belhaj Soulami, Mohamed Nabil Saidi, Ahmed Tamtaoui	A CAD System for the Detection of Abnormalities in the Mammograms Using the Metaheuristic Algorithm Particle Swarm Optimization (PSO).	UNet	2016	DBLP DOI BibTeX RDF
14	Maxine Tan, Faranak Aghaei, Alan B. Hollingsworth, Rebecca G. Stough, Hong Liu 0003, Bin Zheng 0001	Increasing cancer detection yield of breast MRI using a new CAD scheme of mammograms.	Medical Imaging: Computer-Aided Diagnosis	2016	DBLP DOI BibTeX RDF
14	Frank Schebesch, Mathias Unberath, Ingwer Andersen, Andreas K. Maier	Breast Density Assessment Using Wavelet Features on Mammograms.	Bildverarbeitung für die Medizin	2016	DBLP DOI BibTeX RDF
14	Éldman de Oliveira Nunes, Ángel Sánchez 0001, Ana Belén Moreno, Aura Conci	Combining fuzzy experts' decisions fusion with linguistic summarization of mammograms for computer-aided breast diagnosis.	FUZZ-IEEE	2016	DBLP DOI BibTeX RDF
14	Itsara Wichakam, Peerapon Vateekul	Combining deep convolutional networks and SVMs for mass detection on digital mammograms.	KST	2016	DBLP DOI BibTeX RDF
14	Neeraj Dhungel, Gustavo Carneiro 0001, Andrew P. Bradley	The Automated Learning of Deep Features for Breast Mass Classification from Mammograms.	MICCAI (2)	2016	DBLP DOI BibTeX RDF