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High-Resolution Breast Cancer Screening with Multi-View Deep
  Convolutional Neural Networks

High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks

21 March 2017
Krzysztof J. Geras
Stacey Wolfson
Yiqiu Shen
Nan Wu
S. G. Kim
Eric Kim
Laura Heacock
Ujas N Parikh
Linda Moy
Kyunghyun Cho
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Papers citing "High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks"

12 / 12 papers shown
Title
A Review on Explainable Artificial Intelligence for Healthcare: Why,
  How, and When?
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?
M. Rubaiyat
Hossain Mondal
Prajoy Podder
13
56
0
10 Apr 2023
Improved Kidney Stone Recognition Through Attention and Multi-View
  Feature Fusion Strategies
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies
Elias Villalvazo-Avila
F. Lopez-Tiro
Jonathan El Beze
Jacques Hubert
M. González-Mendoza
G. Ochoa-Ruiz
C. Daul
22
8
0
05 Nov 2022
Deep is a Luxury We Don't Have
Deep is a Luxury We Don't Have
Ahmed Taha
Yen Nhi Truong Vu
Brent Mombourquette
Thomas P. Matthews
Jason Su
Sadanand Singh
ViT
MedIm
18
2
0
11 Aug 2022
Multi-View Hypercomplex Learning for Breast Cancer Screening
Multi-View Hypercomplex Learning for Breast Cancer Screening
Eleonora Lopez
Eleonora Grassucci
Martina Valleriani
Danilo Comminiello
28
8
0
12 Apr 2022
A novel multi-view deep learning approach for BI-RADS and density
  assessment of mammograms
A novel multi-view deep learning approach for BI-RADS and density assessment of mammograms
Huyen T. X. Nguyen
Sam B. Tran
D. Nguyen
Hieu H. Pham
H. Nguyen
14
20
0
08 Dec 2021
Machine learning approach for biopsy-based identification of
  eosinophilic esophagitis reveals importance of global features
Machine learning approach for biopsy-based identification of eosinophilic esophagitis reveals importance of global features
Tomer Czyzewski
Nati Daniel
M. Rochman
J. Caldwell
Garrett A. Osswald
M. Collins
M. Rothenberg
Y. Savir
11
22
0
13 Jan 2021
An interpretable classifier for high-resolution breast cancer screening
  images utilizing weakly supervised localization
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Yiqiu Shen
Nan Wu
Jason Phang
Jungkyu Park
Kangning Liu
...
Laura Heacock
S. G. Kim
Linda Moy
Kyunghyun Cho
Krzysztof J. Geras
11
168
0
13 Feb 2020
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays
Mohammad Hashir
H. Bertrand
Joseph Paul Cohen
10
24
0
07 Feb 2020
Robust breast cancer detection in mammography and digital breast
  tomosynthesis using annotation-efficient deep learning approach
Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach
William Lotter
A. R. Diab
B. Haslam
Jiye G. Kim
Giorgia Grisot
...
J. Boxerman
Meiyun Wang
Mack Bandler
G. Vijayaraghavan
A. G. Sorensen
8
140
0
23 Dec 2019
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening
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
15
38
0
07 Jun 2019
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine
  Collaboration in Breast Cancer Diagnosis
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis
Nesreen Ahmed
Theodore L. Willke
M. Schaar
14
32
0
30 Oct 2018
A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram
  Classification
A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram Classification
William Lotter
Greg Sorensen
David D. Cox
19
141
0
21 Jul 2017
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