Automated Endoscopic Image Classification via Deep Neural Network With Class Imbalance Loss-Reference-Cited by-同舟云学术

Automated Endoscopic Image Classification via Deep Neural Network With Class Imbalance Loss

Author:

Yue Guanghui¹^ORCID,Wei Peishan¹^ORCID,Liu Yun²^ORCID,Luo Yu³^ORCID,Du Jingfeng⁴^ORCID,Wang Tianfu¹^ORCID

Affiliation:

1. Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, China

2. College of Information, Liaoning University, Shenyang, China

3. School of Computer Science, Guangdong University of Technology, Guangzhou, China

4. Department of Gastroenterology and Hepatology, Shenzhen University General Hospital, Shenzhen, China

Funder

Shenzhen Science and Technology Program

Basic and Applied Basic Research Foundation of Guangdong Province

National Natural Science Foundation of China

Natural Science Foundation of Shenzhen

Tencent “Rhinoceros Birds”—Scientific Research Foundation for Young Teachers of Shenzhen University

Social Science Youth Foundation of Ministry of Education of China

Liaoning Province Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference56 articles.

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