TMD-Unet: Triple-Unet with Multi-Scale Input Features and Dense Skip Connection for Medical Image Segmentation.

Tran, Song-Toan; Cheng, Ching-Hwa; Nguyen, Thanh-Tuan; Le, Minh-Hai; Liu, Don-Gey

Tran, Song-Toan; Cheng, Ching-Hwa; Nguyen, Thanh-Tuan; Le, Minh-Hai; Liu, Don-Gey.

Afiliação

Tran ST; Program of Electrical and Communications Engineering, Feng Chia University, Taichung 40724, Taiwan.
Cheng CH; Department of Electrical and Electronics, Tra Vinh University, Tra Vinh 87000, Vietnam.
Nguyen TT; Department of Electronic Engineering, Feng Chia University, Taichung 40724, Taiwan.
Le MH; Program of Electrical and Communications Engineering, Feng Chia University, Taichung 40724, Taiwan.
Liu DG; Program of Electrical and Communications Engineering, Feng Chia University, Taichung 40724, Taiwan.

Healthcare (Basel) ; 9(1)2021 Jan 06.

Article em En | MEDLINE | ID: mdl-33419018

Palavras-chave

Unet architecture; electron microscopy segmentation; left atrium segmentation; liver segmentation; medical image segmentation; nuclei segmentation; polyp segmentation; skin lesion segmentation; spleen segmentation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Healthcare (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Taiwan

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