How to evaluate deep learning for cancer diagnostics – factors and recommendations-Reference-Cited by-同舟云学术

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How to evaluate deep learning for cancer diagnostics – factors and recommendations

Published:2021-04 Issue:2 Volume:1875 Page:188515
ISSN:0304-419X
Container-title:Biochimica et Biophysica Acta (BBA) - Reviews on Cancer
language:en
Short-container-title:Biochimica et Biophysica Acta (BBA) - Reviews on Cancer

Author:

Daneshjou Roxana,He Bryan,Ouyang David,Zou James Y

Funder

National Institutes of Health

Silicon Valley Community Foundation

American College of Cardiology Foundation

National Science Foundation

Directorate for Computer and Information Science and Engineering

Publisher

Elsevier BV

Subject

Cancer Research,Genetics,Oncology

Reference22 articles.

1. High-performance medicine: the convergence of human and artificial intelligence;Topol;Nat Med,2019

2. How to read articles that use machine learning. Users’ guides to the medical literature;Liu;JAMA,2019

3. A primer on deep learning in genomics;Zou;Nat Genet.,2019

4. Deep convolutional neural networks for image classification: a comprehensive review;Rawat;Neural Comput.,2017

5. ImageNet large scale visual recognition challenge;Russakovsky;Int J Comput Vis,2015

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