AS101 - Convolutional neural networks of H&E-stained biopsy images accurately quantify histologic features of non-alcoholic steatohepatitis

Francesco Paolo Casale; Michael D. Bereket; Rohit Loomba; Arun Sanyal; Stephen Harrison; Zobair M. Younossi; Catherine Jia; Marianne Camargo; Chuhan Chung; Mani Subramanian; Robert Myers; Eilon Sharon; Matthew Albert; Daphne Koller

doi:10.1016/S0168-8278(20)30680-2

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AS101 - Convolutional neural networks of H&E-stained biopsy images accurately quantify histologic features of non-alcoholic steatohepatitis

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AS101 - Convolutional neural networks of H&E-stained biopsy images accurately quantify histologic features of non-alcoholic steatohepatitis

Francesco Paolo Casale, Michael D. Bereket, Rohit Loomba, Arun Sanyal, Stephen Harrison, Zobair M. Younossi, Catherine Jia, Marianne Camargo, Chuhan Chung, Mani Subramanian, …

Journal of hepatology, Vol.73, pp.S73-S73

08/2020

DOI: https://doi.org/10.1016/S0168-8278(20)30680-2

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Title: AS101 - Convolutional neural networks of H&E-stained biopsy images accurately quantify histologic features of non-alcoholic steatohepatitis
Creators: Francesco Paolo Casale
Michael D. Bereket
Rohit Loomba
Arun Sanyal
Stephen Harrison
Zobair M. Younossi
Catherine Jia
Marianne Camargo
Chuhan Chung
Mani Subramanian
Robert Myers
Eilon Sharon
Matthew Albert
Daphne Koller
Publication Details: Journal of hepatology, Vol.73, pp.S73-S73
Publisher: Elsevier B.V
Identifiers: 991006030871002656
Academic Unit: Internal Medicine
Language: English
Resource Type: Journal article