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...

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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
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