Improvement of Gastroscopy Classification Performance Through Image Augmentation Using a Gradient-Weighted Class Activation Map-Reference-Cited by-同舟云学术

Improvement of Gastroscopy Classification Performance Through Image Augmentation Using a Gradient-Weighted Class Activation Map

Published:2022 Issue: Volume:10 Page:99361-99369
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ham Hyun-Sik¹^ORCID,Lee Han-Sung¹,Chae Jung-Woo¹,Cho Hyun Chin²,Cho Hyun-Chong¹^ORCID

Affiliation:

1. Department Graduate Program for BIT Medical Convergence, Kangwon National University, Chuncheon, South Korea

2. Department of Internal Medicine, School of Medicine, Institute of Health Sciences, Gyeongsang National University Hospital, Gyeongsang National University, Jinju, South Korea

Funder

National Research Foundation of Korea (NRF) grant funded by the Korean Government [Ministry of Science and Information and Communication Technology (MSIT)]

Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09895254.pdf?arnumber=9895254

Reference33 articles.

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