Efficient Vessel Feature Detection for Endoscopic Image Analysis
Year: 2014
Type: article
Institutions: University of South Florida, Texas A&M University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Funder: National Science Foundation
OpenAlex ID: W1974236932
