Automatic gross tumor volume segmentation with failure detection for safe implementation in locally advanced cervical cancer
Work
Year: 2024
Type: article
Abstract: Background and PurposeAutomatic segmentation methods have greatly changed the radiotherapy workflow, but still need to be extended to target volumes. In this paper, Deep Learning (DL) models were comp... more
Authors Rahimeh Rouhi, Stéphane Niyoteka, Alexandre Carré, Samir Achkar, Pierre-Antoine Laurent +11 more
Institutions Institut Gustave Roussy, Inserm, Université Paris-Saclay, Radiothérapie Moléculaire et Innovation Thérapeutique, CentraleSupélec
Cites: 49
Cited by: 4
Related to: 10
FWCI: 5.639
Citation percentile (by year/subfield): 100
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
APC paid (est): $1,611
Funders Elekta, Institut National Du Cancer