Dense-UNet: a novel multiphoton <i>in vivo</i> cellular image segmentation model based on a convolutional neural network.

Cai, Sijing; Tian, Yunxian; Lui, Harvey; Zeng, Haishan; Wu, Yi; Chen, Guannan

Dense-UNet: a novel multiphoton in vivo cellular image segmentation model based on a convolutional neural network.

Cai, Sijing; Tian, Yunxian; Lui, Harvey; Zeng, Haishan; Wu, Yi; Chen, Guannan.

Afiliação

Cai S; Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China.
Tian Y; School of Information Science and Engineering, Fujian University of Technology, Fuzhou, China.
Lui H; Imaging Unit, Integrative Oncology Department, BC Cancer Research Centre, Vancouver, BC, Canada.
Zeng H; Photomedicine Institute, Department of Dermatology and Skin Science, University of British Columbia and Vancouver Coastal Health Research Institute, Vancouver, BC, Canada.
Wu Y; Imaging Unit, Integrative Oncology Department, BC Cancer Research Centre, Vancouver, BC, Canada.
Chen G; Photomedicine Institute, Department of Dermatology and Skin Science, University of British Columbia and Vancouver Coastal Health Research Institute, Vancouver, BC, Canada.

Quant Imaging Med Surg ; 10(6): 1275-1285, 2020 Jun.

Article em En | MEDLINE | ID: mdl-32550136

Palavras-chave

Skin in vivo; U-Net; dense-UNet; image segmentation; multiphoton microscopy (MPM)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Quant Imaging Med Surg Ano de publicação: 2020 Tipo de documento: Article

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