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Application of multi-scale dynamic enhancement based on deep neural network and CT urinary tract secretory phase image fusion in the diagnosis of urinary system diseases.

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第一作者： Yuzhe,Liang

第一单位： The First Clinical School of Wuhan University, Wuhan University, Wuhan, Hubei, 430060, China. 2020305231098@whu.edu.cn.

作者： Yuzhe,Liang ^[1]

作者单位： The First Clinical School of Wuhan University, Wuhan University, Wuhan, Hubei, 430060, China. 2020305231098@whu.edu.cn. ^[1]

关键词 Cross-attention mechanism Dual-branch 3D convolutional network Lightweight deployment Multi-scale dynamic enhancement Urinary system CT diagnosis

DOI 10.1186/s12880-025-01989-3

PMID 41188788

发布时间 2025-11-08

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BMC medical imaging

2025年25卷1期

443页

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BMC medical imaging

2025年25卷1期

443页

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Application of multi-scale dynamic enhancement based on deep neural network and CT urinary tract secretory phase image fusion in the diagnosis of urinary system diseases.

BMC medical imaging

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Application of multi-scale dynamic enhancement based on deep neural network and CT urinary tract secretory phase image fusion in the diagnosis of urinary system diseases.

BMC medical imaging

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BMC medical imaging

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