MSA-Net: a multi-scale and adversarial learning network for segmenting bone metastases in low-resolution SPECT imaging

MSA-Net: a multi-scale and adversarial learning network for segmenting bone metastases in low-resolution SPECT imaging

Abstract Background Single-photon emission computed tomography (SPECT) plays a crucial role in detecting bone metastases from lung cancer. However, its low spatial resolution and lesion similarity to benign structures present significant challenges for accurate segmentation, especially for lesions o...

Full description

Saved in:
Bibliographic Details
Main Authors: Yusheng Wu, Qiang Lin, Yang He, XianWu Zeng, Yongchun Cao, ZhengXing Man, Caihong Liu, Yusheng Hao, Zhengqi Cai, Jinshui Ji, Xiaodi Huang
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:EJNMMI Physics
Subjects:
SPECT image
Bone metastasis
Multiscale segmentation
Adversarial learning
Online Access:https://doi.org/10.1186/s40658-025-00785-w
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s40658-025-00785-w

Similar Items