A comparative study of automatic hippocampal segmentation in whole-brain radiotherapy applying DPNU-Net, Mask-RCNN, and nnU-Net models

Purpose: This study developed a hippocampal segmentation model that can be used by clinicians by applying the Dual Path Networks U-Net (DPNU-Net), Mask-Region Convolution Neural Networks (Mask-RCNN), and No New U-Net (nnU-Net) algorithms for segmenting the hippocampus to provide a reference for the...

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Autores principales:	Rui Liu, Shao-Bin Wang, Shan-Shan Du, Kang-Ning Meng, Ruo-Zheng Wang, Lu Bai, Qi Chen, Guan-Zhong Gong, Yong Yin
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2025-03-01
Colección:	Journal of Radiation Research and Applied Sciences
Materias:	Brain metastases Whole-brain radiotherapy Hippocampus Automatic segmentation
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S1687850724004588
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