Deep learning auto-segmentation on multi-sequence magnetic resonance images for upper abdominal organs

INTRODUCTION: Multi-sequence multi-parameter MRIs are often used to define targets and/or organs at risk (OAR) in radiation therapy (RT) planning. Deep learning has so far focused on developing auto-segmentation models based on a single MRI sequence. The purpose of this work is to develop a multi-se...

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Detalles Bibliográficos
Autores principales: Amjad, Asma, Xu, Jiaofeng, Thill, Dan, Zhang, Ying, Ding, Jie, Paulson, Eric, Hall, William, Erickson, Beth A., Li, X. Allen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358771/
https://www.ncbi.nlm.nih.gov/pubmed/37483486
http://dx.doi.org/10.3389/fonc.2023.1209558

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358771/
https://www.ncbi.nlm.nih.gov/pubmed/37483486
http://dx.doi.org/10.3389/fonc.2023.1209558

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