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MSDMAT-BTS: Multi-scale diffusion model and attention mechanism for brain tumor segmentation

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成果类型:
期刊论文
作者:
Gao, Tao;Hu, Weijie;Chen, Mingzhi;Chen, Lingna*;Jiang, Hui
通讯作者:
Chen, Lingna;Jiang, H
作者机构:
[Jiang, Hui; Chen, Lingna; Chen, LN; Gao, Tao] Univ South China, Comp Sch, Hengyang, Peoples R China.
[Hu, Weijie] Australian Natl Univ, ANU Coll Business & Econ, Acton, ACT 2601, Australia.
[Chen, Mingzhi] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai, Peoples R China.
通讯机构:
[Jiang, H ; Chen, LN] U
Univ South China, Comp Sch, Hengyang, Peoples R China.
语种:
英文
关键词:
Brain tumor segmentation;Diffusion model;Attention;Multi-scale features;CNNs
期刊:
Biomedical Signal Processing and Control
ISSN:
1746-8094
年:
2025
卷:
104
页码:
107505
基金类别:
CRediT authorship contribution statement Tao Gao: Writing – original draft, Visualization, Validation, Software, Methodology, Investigation. Weijie Hu: Writing – original draft, acquisition, Data curation. Mingzhi Chen: Writing – original draft, Validation. Lingna Chen: Validation, Supervision, Methodology, Conceptualization. Hui Jiang: Validation, Supervision, Conceptualization.
机构署名:
本校为第一且通讯机构
摘要:
Brain tumor segmentation is crucial for diagnosing tumors and assessing clinical conditions. Diffusion models have become highly popular in medical image segmentation. However, current diffusion-based methods seldom fuse multi-modality images from a multi-scale perspective. Furthermore, removing the effect of noise in brain tumor images remains a significant challenge for brain tumor segmentation. In this paper, we propose a multi-scale diffusion model with an attention mechanism for brain tumor segmentation to address these challenges. Our met...

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