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Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast
  Cancer Risk Models

Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models

11 July 2020
Yue Liu
Hossein Azizpour
Fredrik Strand
Kevin Smith
ArXivPDFHTML

Papers citing "Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models"

3 / 3 papers shown
Title
Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images
Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images
Hyeonsoo Lee
Junha Kim
Eunkyung Park
Minjeong Kim
Taesoo Kim
Thijs Kooi
MedIm
31
14
0
28 Mar 2023
Robust Cross-vendor Mammographic Texture Models Using Augmentation-based
  Domain Adaptation for Long-term Breast Cancer Risk
Robust Cross-vendor Mammographic Texture Models Using Augmentation-based Domain Adaptation for Long-term Breast Cancer Risk
Andreas D. Lauritzen
M. V. von Euler-Chelpin
E. Lynge
I. Vejborg
Mads Nielsen
N. Karssemeijer
M. Lillholm
13
3
0
27 Dec 2022
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,634
0
03 Jul 2012
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