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Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future
  Directions

Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions

13 April 2023
Luyang Luo
Xi Wang
Yi-Mou Lin
Xiaoqi Ma
Andong Tan
R. Chan
V. Vardhanabhuti
W. C. Chu
Kwang-Ting Cheng
Hao Chen
ArXivPDFHTML

Papers citing "Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions"

13 / 13 papers shown
Title
Knowledge Distillation to Ensemble Global and Interpretable
  Prototype-Based Mammogram Classification Models
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models
Chong Wang
Yuanhong Chen
Yuyuan Liu
Yu Tian
Fengbei Liu
Davis J. McCarthy
M. Elliott
Helen Frazer
G. Carneiro
41
19
0
26 Sep 2022
Multi-view Local Co-occurrence and Global Consistency Learning Improve
  Mammogram Classification Generalisation
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
45
19
0
21 Sep 2022
Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass
  Detection
Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection
Zi-Long Zhao
Dong Wang
Yihong Chen
Ziteng Wang
Liwei Wang
MedIm
16
6
0
13 Sep 2022
Selective Synthetic Augmentation with HistoGAN for Improved
  Histopathology Image Classification
Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification
Yuan Xue
Jiarong Ye
Qianying Zhou
L. R. Long
Sameer Kiran Antani
Z. Xue
Carl Cornwell
R. Zaino
K. Cheng
Xiaolei Huang
MedIm
177
101
0
10 Nov 2021
Identifying Women with Mammographically-Occult Breast Cancer Leveraging
  GAN-Simulated Mammograms
Identifying Women with Mammographically-Occult Breast Cancer Leveraging GAN-Simulated Mammograms
Juhun Lee
R. Nishikawa
19
24
0
24 Sep 2021
Label Cleaning Multiple Instance Learning: Refining Coarse Annotations
  on Single Whole-Slide Images
Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images
Zhenzhen Wang
Carla Saoud
A. Popel
Aaron W. James
Aleksander S. Popel
Jeremias Sulam
16
20
0
22 Sep 2021
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise
  Perspective with Transformer
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer
Haonan Wang
Peng Cao
Jiaqi Wang
Osmar R. Zaiane
MedIm
ViT
123
708
0
09 Sep 2021
Instance-aware Self-supervised Learning for Nuclei Segmentation
Instance-aware Self-supervised Learning for Nuclei Segmentation
Xinpeng Xie
Jiawei Chen
Yuexiang Li
Linlin Shen
Kai Ma
Yefeng Zheng
SSL
100
59
0
22 Jul 2020
Learning from Suspected Target: Bootstrapping Performance for Breast
  Cancer Detection in Mammography
Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography
Li Xiao
Cheng Zhu
Junjun Liu
Chunlong Luo
Peifang Liu
Yi Zhao
13
5
0
01 Mar 2020
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
246
1,275
0
06 Mar 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
278
10,613
0
19 Feb 2017
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,447
0
21 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
249
36,362
0
25 Aug 2016
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