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...
Saved in:
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: | |
Online Access: | https://doi.org/10.1186/s40658-025-00716-9 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MitoSeg: Mitochondria segmentation tool
by: Faris Serdar Taşel, et al.
Published: (2025-05-01) -
Diagnostics of hepatocellular cancer: state-of-the-art
by: T. Yu. Danzanova, et al.
Published: (2014-10-01) -
Automatic Segmentation of Abdominal Aortic Aneurysm From Computed Tomography Angiography Using a Patch-Based Dilated UNet Model
by: Merjulah Roby, et al.
Published: (2025-01-01) -
Diffused Multi-scale Generative Adversarial Network for low-dose PET images reconstruction
by: Xiang Yu, et al.
Published: (2025-02-01) -
Effectiveness of Contrast Agents and Molecular Indicators in Alzheimer's Diagnosis Through PET and SPECT Imaging on Animal Models
by: Yasaman Abaszadeh, et al.
Published: (2025-01-01)