Machine Learning Algorithms, Applied to Intact Islets of Langerhans, Demonstrate Significantly Enhanced Insulin Staining at the Capillary Interface of Human Pancreatic ß Cells.

Cottle, Louise; Gilroy, Ian; Deng, Kylie; Loudovaris, Thomas; Thomas, Helen E; Gill, Anthony J; Samra, Jaswinder S; Kebede, Melkam A; Kim, Jinman; Thorn, Peter

Cottle, Louise; Gilroy, Ian; Deng, Kylie; Loudovaris, Thomas; Thomas, Helen E; Gill, Anthony J; Samra, Jaswinder S; Kebede, Melkam A; Kim, Jinman; Thorn, Peter.

Afiliação

Cottle L; Charles Perkins Centre, School of Medical Sciences, University of Sydney, Camperdown 2006, Australia.
Gilroy I; School of Computer Science, University of Sydney, Camperdown 2006, Australia.
Deng K; Charles Perkins Centre, School of Medical Sciences, University of Sydney, Camperdown 2006, Australia.
Loudovaris T; St Vincent's Institute, Fitzroy 3065, Australia.
Thomas HE; St Vincent's Institute, Fitzroy 3065, Australia.
Gill AJ; Department of Medicine, St Vincent's Hospital, University of Melbourne, Fitzroy 3065, Australia.
Samra JS; Northern Clinical School, University of Sydney, St Leonards 2065, Australia.
Kebede MA; Department of Anatomical Pathology, Royal North Shore Hospital, St Leonards 2065, Australia.
Kim J; Cancer Diagnosis and Pathology Research Group, Kolling Institute of Medical Research, St Leonards 2065, Australia.
Thorn P; Northern Clinical School, University of Sydney, St Leonards 2065, Australia.

Metabolites ; 11(6)2021 Jun 07.

Article em En | MEDLINE | ID: mdl-34200432

Palavras-chave

automation; beta cell; cell segmentation; deep learning; human; insulin; islet; machine learning; polarisation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Metabolites Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Austrália País de publicação: Suíça

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