Work

A computational study on convolutional feature combination strategies for grade classification in colon cancer using fluorescence microscopy data

Year: 2017

Type: conference-paper

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

DOI: 10.1117/12.2255687

Authors: Aritra Chowdhury, Christopher J. Sevinsky, Alberto Santamaria-Pang, Bülent Yener

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

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2594872399

FWCI: 0.125

Cites: 6

Cited by: 4

Related to: 10