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

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

ObjectivesThe 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.MethodsLocalized CT images fo...

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Bibliographic Details
Main Authors: Xiaobo Wen, Bing Liang, Biao Zhao, Xiaokun Hu, Meifang Yuan, Wenchao Hu, Ting Liu, Yi Yang, Dongming Xing
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Oncology
Subjects:
U-Net model
deep learning
medical-image segmentation
temporal lobe
radiotherapy
loss function
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1204044/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1204044/full

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