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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
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Results
Found 1365 publication records. Showing 1365 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
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 |
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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 |
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