Work

Automated lung segmentation for thoracic CT

Year: 2004

Type: article

Source: Academic Radiology

DOI: 10.1016/j.acra.2004.06.005

Authors: Samuel G. Armato, William F. Sensakovic

Institution: University of Chicago

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: National Cancer Institute

Award: COMPUTER AIDED DIAGNOSIS IN CT OF THE THORAX

OpenAlex ID: W2016672701

FWCI: 7.59

Cites: 37

Cited by: 263

Related to: 10