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UDT: U-shaped deformable transformer for subarachnoid haemorrhage image segmentation

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成果类型:
期刊论文
作者:
Xie, Wei;Jin, Lianghao;Hua, Shiqi;Sun, Hao;Sun, Bo;...
通讯作者:
Sun, H;Sun, B
作者机构:
[Hua, Shiqi; Sun, Hao; Jin, Lianghao; Xie, Wei] Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smart, Wuhan, Peoples R China.
[Hua, Shiqi; Jin, Lianghao; Xie, Wei; Sun, Hao] Cent China Normal Univ, Sch Comp Sci, Wuhan, Peoples R China.
[Hua, Shiqi; Jin, Lianghao; Xie, Wei; Sun, Hao] Cent China Normal Univ, Natl Language Resources Monitoring & Res Ctr Netwo, Wuhan, Peoples R China.
[Sun, B; Sun, Bo] Dalian Med Univ, Affiliated Hosp 1, Dalian, Peoples R China.
[Tu, Zhigang] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan, Peoples R China.
通讯机构:
[Sun, B ] D
[Sun, H ] C
Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smart, Wuhan, Peoples R China.
Dalian Med Univ, Affiliated Hosp 1, Dalian, Peoples R China.
语种:
英文
关键词:
image segmentation;medical image processing
期刊:
智能技术学报
ISSN:
2468-2322
年:
2024
卷:
9
期:
3
页码:
756-768
基金类别:
Fundamental Research Funds for the Central Universities
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
AbstractSubarachnoid haemorrhage (SAH), mostly caused by the rupture of intracranial aneurysm, is a common disease with a high fatality rate. SAH lesions are generally diffusely distributed, showing a variety of scales with irregular edges. The complex characteristics of lesions make SAH segmentation a challenging task. To cope with these difficulties, a u‐shaped deformable transformer (UDT) is proposed for SAH segmentation. Specifically, first, a multi‐scale deformable attention (MSDA) module is exploited to model the diffuseness and scale‐...

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