Código QR (código de barras bidimensional)

Comparative analysis of artificial intelligence-based contouring of cardiac substructures on computed tomography scans for radiation therapy

Background and purpose: Artificial intelligence-based contouring tools enable assessment of radiation doses to cardiac substructures beyond mean heart dose. This study examined inter-solution variations in raw contours and the impact of non-contrast enhancement on contours for each solution. Materia...

ver descrição completa

Na minha lista:
Principais autores: Alexandra Moignier, Tanguy Perennec, Elise Prangères, Bastien Bernard, Angela Botticella, Xinru Chen, Robert Finnegan, Sandrine Huger, Anna Karlhede, Thomas Lacornerie, Fredrik Löfman, Jérémy Palisson, Charlotte Robert, Killian Sambourg, Jonas Söderberg, Remus Stoica, Grégory Delpon, Elvire Martin-Mervoyer, François Thillays, Loïg Vaugier
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2026-03-01
coleção:Physics and Imaging in Radiation Oncology
Assuntos:
Cardiac substructures
Auto-contouring
Artificial intelligence
Thoracic radiotherapy
Contrast sensitivity
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2405631626000357
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registros relacionados