An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

13 February 2020

Papers citing "An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization"

47 / 47 papers shown

Title
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography Heyi Li Dongdong Chen W. Nailon Mike E. Davies Dave Laurenson 22 51 0 07 Aug 2020
Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography Li Xiao Cheng Zhu Junjun Liu Chunlong Luo Peifang Liu Yi Zhao 39 5 0 01 Mar 2020
Evaluating Weakly Supervised Object Localization Methods Right Junsuk Choe Seong Joon Oh Seungho Lee Sanghyuk Chun Zeynep Akata Hyunjung Shim WSOL 322 188 0 21 Jan 2020
Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation Zhanghexuan Ji Yan Shen Chunwei Ma Mingchen Gao 32 64 0 05 Nov 2019
Deep Local Global Refinement Network for Stent Analysis in IVOCT Images Yuyu Guo 3DV 23 6 0 23 Sep 2019
Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation Yu Zeng Yunzhi Zhuge Huchuan Lu Lihe Zhang 40 177 0 09 Sep 2019
Improving localization-based approaches for breast cancer screening exam classification Thibault Févry Jason Phang Nan Wu S. G. Kim Linda Moy Kyunghyun Cho Krzysztof J. Geras MedIm 6 10 0 01 Aug 2019
An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms Zhusi Zhong Jie Li Zhenxi Zhang Zhicheng Jiao Xinbo Gao 18 104 0 17 Jun 2019
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis Luyang Luo Hao Chen Xi Wang Qi Dou Huangjing Lin Juan Zhou Gongjie Li Pheng-Ann Heng 22 23 0 07 Jun 2019
PseudoEdgeNet: Nuclei Segmentation only with Point Annotations Inwan Yoo Donggeun Yoo K. Paeng 35 76 0 07 Jun 2019
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening Yiqiu Shen Nan Wu Jason Phang Jungkyu Park S. G. Kim Linda Moy Kyunghyun Cho Krzysztof J. Geras 31 38 0 07 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 25 17,871 0 28 May 2019
Processing Megapixel Images with Deep Attention-Sampling Models Angelos Katharopoulos Franccois Fleuret 43 65 0 03 May 2019
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening Nan Wu Jason Phang Jungkyu Park Yiqiu Shen Zhe Huang ... S. G. Kim Laura Heacock Linda Moy Kyunghyun Cho Krzysztof J. Geras MedIm 14 493 0 20 Mar 2019
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis Nesreen Ahmed Theodore L. Willke M. Schaar 26 32 0 30 Oct 2018
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images Jo Schlemper Ozan Oktay M. Schaap M. Heinrich Bernhard Kainz Ben Glocker Daniel Rueckert MedIm 38 1,456 0 22 Aug 2018
Deep multiscale convolutional feature learning for weakly supervised localization of chest pathologies in X-ray images S. Sedai Dwarikanath Mahapatra Z. Ge R. Chakravorty R. Garnavi SSL 27 40 0 22 Aug 2018
Improving Breast Cancer Detection using Symmetry Information with Deep Learning Y. Hagos A. Gubern-Mérida Jonas Teuwen 17 27 0 17 Aug 2018
Constrained-CNN losses for weakly supervised segmentation H. Kervadec Jose Dolz Meng Tang Eric Granger Yuri Boykov Ismail Ben Ayed 53 239 0 12 May 2018
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation Yunchao Wei Huaxin Xiao Humphrey Shi Zequn Jie Jiashi Feng Thomas S. Huang SSeg 64 543 0 11 May 2018
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions L. Yao Jordan Prosky Eric Poblenz Ben Covington Kevin Lyman 26 121 0 21 Mar 2018
Attention-based Deep Multiple Instance Learning Maximilian Ilse Jakub M. Tomczak Max Welling 101 1,779 0 13 Feb 2018
Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification Q. Guan Yaping Huang Zhun Zhong Zhedong Zheng Liang Zheng Yi Yang 16 258 0 30 Jan 2018
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning Pranav Rajpurkar Jeremy Irvin Kaylie Zhu Brandon Yang Hershel Mehta ... Aarti Bagul C. Langlotz K. Shpanskaya M. Lungren A. Ng LM&MA 40 2,683 0 14 Nov 2017
Breast density classification with deep convolutional neural networks Nan Wu Krzysztof J. Geras Yiqiu Shen Jingyi Su S. G. Kim Eric Kim Stacey Wolfson Linda Moy Kyunghyun Cho 11 77 0 10 Nov 2017
Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography Li Shen L. Margolies J. Rothstein Eugene Fluder R. McBride W. Sieh MedIm 41 760 0 30 Aug 2017
Detecting and classifying lesions in mammograms with Deep Learning D. Ribli A. Horváth Z. Unger P. Pollner I. Csabai MedIm 45 584 0 26 Jul 2017
A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram Classification William Lotter Greg Sorensen David D. Cox 37 141 0 21 Jul 2017
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules Xinyang Feng Jie Yang Andrew F. Laine Elsa D. Angelini 16 159 0 04 Jul 2017
Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification Wentao Zhu Qi Lou Y. S. Vang Xiaohui Xie 33 275 0 23 May 2017
Classifying Symmetrical Differences and Temporal Change in Mammography Using Deep Neural Networks Thijs Kooi N. Karssemeijer 33 48 0 22 Mar 2017
High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks Krzysztof J. Geras Stacey Wolfson Yiqiu Shen Nan Wu S. G. Kim Eric Kim Laura Heacock Ujas N Parikh Linda Moy Kyunghyun Cho 42 223 0 21 Mar 2017
Weakly Supervised Cascaded Convolutional Networks Ali Diba Vivek Sharma A. Pazandeh Hamed Pirsiavash Luc Van Gool WSOD 30 298 0 24 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 432 36,530 0 25 Aug 2016
An Analysis of Deep Neural Network Models for Practical Applications A. Canziani Adam Paszke Eugenio Culurciello 40 1,165 0 24 May 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 180 10,143 0 16 Mar 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 70 9,266 0 14 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 671 192,387 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 180 27,191 0 02 Dec 2015
Weakly Supervised Deep Detection Networks Hakan Bilen Andrea Vedaldi WSOD 33 783 0 09 Nov 2015
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 235 7,942 0 17 Aug 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 294 61,821 0 04 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 529 76,398 0 18 May 2015
Anatomy-specific classification of medical images using deep convolutional nets H. Roth Christopher T. Lee Hoo-Chang Shin Ari Seff Lauren Kim Jianhua Yao Le Lu Ronald M. Summers 15 180 0 15 Apr 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 99 149,279 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 365 99,915 0 04 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 235 27,183 0 01 Sep 2014