Combining convolutional attention mechanism and residual deformable Transformer for infarct segmentation from CT scans of acute ischemic stroke patients. | Front Neurol;14: 1178637, 2023. | MEDLINE

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Combining convolutional attention mechanism and residual deformable Transformer for infarct segmentation from CT scans of acute ischemic stroke patients.

Xu, Zhixiang; Ding, Changsong.

Affiliation

Xu Z; School of Informatics, Hunan University of Chinese Medicine, Changsha, Hunan, China.
Ding C; School of Informatics, Hunan University of Chinese Medicine, Changsha, Hunan, China.

Front Neurol ; 14: 1178637, 2023.

Article in En | MEDLINE | ID: mdl-37545718

Key words

Transformer; acute ischemic stroke; convolutional attention mechanism; infarct segmentation; non-contrast CT; volumetric analysis

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline Language: En Journal: Front Neurol Year: 2023 Document type: Article Affiliation country: China Country of publication: Suiza

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline Language: En Journal: Front Neurol Year: 2023 Document type: Article Affiliation country: China Country of publication: Suiza