Application of FGD-BCEL loss function in segmenting temporal lobes on localized CT images for radiotherapy

OBJECTIVES: The aim of this study was to find a new loss function to automatically segment temporal lobes on localized CT images for radiotherapy with more accuracy and a solution to dealing with the classification of class-imbalanced samples in temporal lobe segmentation. METHODS: Localized CT imag...

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Detalles Bibliográficos
Autores principales: Wen, Xiaobo, Liang, Bing, Zhao, Biao, Hu, Xiaokun, Yuan, Meifang, Hu, Wenchao, Liu, Ting, Yang, Yi, Xing, Dongming
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/PMC10585164/
https://www.ncbi.nlm.nih.gov/pubmed/37869086
http://dx.doi.org/10.3389/fonc.2023.1204044

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585164/
https://www.ncbi.nlm.nih.gov/pubmed/37869086
http://dx.doi.org/10.3389/fonc.2023.1204044

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