Work

Diaphragm-Net: 3D Full Automatic Segmentation of the Diaphragm Based on Deep Learning Methods for 3D-CT Images

Year: 2025

Type: conference-paper

Source: IEEE International Symposium on Biomedical Imaging (ISBI)

DOI: 10.1109/isbi60581.2025.10981126

Authors: Mohamed Benkhettou, Hamid Ladjal, Mohammed Haddad, Behzad Shariat

Institutions: Lyon 1 Université, Laboratoire d'Informatique en Images et Systèmes d'Information

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: Agence Nationale de la Recherche

Awards: Physique, Radiobiologie, Imagerie Médicale et Simulation, G356259579

OpenAlex ID: W4406351744

FWCI: 2.35

Cites: 13

Cited by: 3

Related to: 10