Unsupervised Learning Composite Network to Reduce Training Cost of Deep Learning Model for Colorectal Cancer Diagnosis-Reference-Cited by-同舟云学术

Unsupervised Learning Composite Network to Reduce Training Cost of Deep Learning Model for Colorectal Cancer Diagnosis

Published:2023 Issue: Volume:11 Page:54-59
ISSN:2168-2372
Container-title:IEEE Journal of Translational Engineering in Health and Medicine
language:
Short-container-title:IEEE J. Transl. Eng. Health Med.

Author:

Guo Jirui¹^ORCID,Cao Wuteng²,Nie Bairun³^ORCID,Qin Qiyuan¹^ORCID

Affiliation:

1. Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China

2. Department of Radiology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China

3. School of Electrical Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, Australia

Funder

Guangzhou Municipal Science and Technology Project

Sixth Affiliated Hospital of Sun Yat-sen University Clinical Research 1010 Program

National Key Clinical Discipline

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Medicine

Link

Reference25 articles.

2. Application of artificial intelligence to the diagnosis and therapy of colorectal cancer;wang;Amer J Cancer Res,2020

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