A generative whole-brain segmentation model for positron emission tomography images

A generative whole-brain segmentation model for positron emission tomography images

Abstract Purpose Whole-brain segmentation via positron emission tomography (PET) imaging is crucial for advancing neuroscience research and clinical medicine, providing essential insights into biological metabolism and activity within different brain regions. However, the low resolution of PET image...

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Bibliographic Details
Main Authors:	Wenbo Li, Zhenxing Huang, Hongyan Tang, Yaping Wu, Yunlong Gao, Jing Qin, Jianmin Yuan, Yang Yang, Yan Zhang, Na Zhang, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu
Format:	Article
Language:	English
Published:	SpringerOpen 2025-02-01
Series:	EJNMMI Physics
Subjects:	Positron emission tomography Brain Generative medical segmentation Cross-attention
Online Access:	https://doi.org/10.1186/s40658-025-00716-9
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