Work

A machine learning approach to quantifying noise in medical images

Year: 2016

Type: conference-paper

Source: Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE

DOI: 10.1117/12.2217702

Authors: Aritra Chowdhury, Christopher J. Sevinsky, Bülent Yener, Kareem S. Aggour, Steven M. Gustafson

Institutions: Rensselaer Polytechnic Institute, General Electric (United States), GE Global Research (United States)

Language: English

Topic: Image and Video Quality Assessment

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2312131768

FWCI: 0.347

Cites: 6

Cited by: 4

Related to: 10