PCG-net: feature adaptive deep learning for automated head and neck organs-at-risk segmentation

INTRODUCTION: Radiation therapy is a common treatment option for Head and Neck Cancer (HNC), where the accurate segmentation of Head and Neck (HN) Organs-AtRisks (OARs) is critical for effective treatment planning. Manual labeling of HN OARs is time-consuming and subjective. Therefore, deep learning...

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Detalles Bibliográficos
Autores principales: Luan, Shunyao, Wei, Changchao, Ding, Yi, Xue, Xudong, Wei, Wei, Yu, Xiao, Wang, Xiao, Ma, Chi, Zhu, Benpeng
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/PMC10623055/
https://www.ncbi.nlm.nih.gov/pubmed/37927463
http://dx.doi.org/10.3389/fonc.2023.1177788

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10623055/
https://www.ncbi.nlm.nih.gov/pubmed/37927463
http://dx.doi.org/10.3389/fonc.2023.1177788

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