Work

Low-Light Gastroscopic Image Enhancement Network Based on CycleGAN

Year: 2025

Type: conference-paper

Source: International Conference on Advanced Algorithms and Control Engineering (ICAACE)

DOI: 10.1109/icaace65325.2025.11019998

Authors: Runjiang Mao, Rui Zhao, Liming Zhang

Institutions: Zhengzhou University, Peking University, Peking University People's Hospital

Language: English

Topic: Image Enhancement Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Peking University

Award: G2798588500

OpenAlex ID: W4411143345

FWCI: 0.857

Cites: 8

Cited by: 1

Related to: 10