MamT$^4$: Multi-view Attention Networks for Mammography Cancer
Classification

MamT $^4$ : Multi-view Attention Networks for Mammography Cancer Classification

3 November 2024

Alisher Ibragimov

Sofya Senotrusova

Arsenii Litvinov

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Papers citing "MamT$^4$: Multi-view Attention Networks for Mammography Cancer Classification"

13 / 13 papers shown

Title
Delving into Ipsilateral Mammogram Assessment under Multi-View Network Thai Ngoc Toan Truong Thanh-Huy Nguyen Ba Thinh Lam Duy V.M. Nguyen Hong Phuc Nguyen 28 10 0 05 Sep 2023
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation Yuanhong Chen Hu Wang Chong Wang Yu Tian Fengbei Liu M. Elliott Davis J. McCarthy Helen Frazer G. Carneiro 97 20 0 21 Sep 2022
VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography H. T. Nguyen H. Q. Nguyen H. Pham K. Lam L. Le M. Dao V. Vu 50 103 0 20 Mar 2022
Swin Transformer V2: Scaling Up Capacity and Resolution Ze Liu Han Hu Yutong Lin Zhuliang Yao Zhenda Xie ... Yue Cao Zheng Zhang Li Dong Furu Wei B. Guo ViT 219 1,822 0 18 Nov 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers Enze Xie Wenhai Wang Zhiding Yu Anima Anandkumar J. Álvarez Ping Luo ViT 312 5,051 0 31 May 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 463 21,564 0 25 Mar 2021
Deep Semantic Segmentation of Natural and Medical Images: A Review Saeid Asgari Taghanaki Kumar Abhishek Joseph Paul Cohen Julien Cohen-Adad Ghassan Hamarneh SSeg VLM 134 682 0 16 Oct 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 142 18,168 0 28 May 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 359 6,799 0 06 May 2019
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks Aditya Chattopadhyay Anirban Sarkar Prantik Howlader V. Balasubramanian FAtt 112 2,306 0 30 Oct 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 55 766 0 30 Aug 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,341 0 18 May 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,590 0 01 Sep 2014