Work

Development and validation of pan-cancer lesion segmentation AI-model for whole-body 18F-FDG PET/CT in diverse clinical cohorts

Year: 2025

Type: article

Source: Computers in Biology and Medicine

DOI: 10.1016/j.compbiomed.2025.110052

Authors: Fahmida Haque, Alex Chen, Nathan Lay, Jorge Carrasquillo, Esther Mena, Liza Lindenberg, Julia E. Segal, Philip C. Eclarinal, Sara Talvacchio, Alberta Derkyi, Peter L. Choyke, Karel Pacak, Rosandra N. Kaplan, Frank I. Lin, Baris Turkbey, Stephanie A. Harmon

Institutions: National Institutes of Health, National Cancer Institute, Eunice Kennedy Shriver National Institute of Child Health and Human Development

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: bronze

Funders: Center for Cancer Research, National Institutes of Health, National Cancer Institute

Awards: G5722871495, G6374948078

OpenAlex ID: W4408747760

FWCI: 1.495

Cites: 50

Cited by: 4

Related to: 10