Deep learning-based quantification of NAFLD/NASH progression in human liver biopsies

Autor:	Fabian Heinemann, Peter Gross, Svetlana Zeveleva, Hu Sheng Qian, Jon Hill, Anne Höfer, Danny Jonigk, Anna Mae Diehl, Manal Abdelmalek, Martin C. Lenter, Steven S. Pullen, Paolo Guarnieri, Birgit Stierstorfer
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	Liver Cirrhosis Inflammation Multidisciplinary Deep Learning Liver Non-alcoholic Fatty Liver Disease Biopsy Humans Reproducibility of Results Fibrosis Severity of Illness Index
Zdroj:	Scientific reports 12, 19236 (2022). doi:10.1038/s41598-022-23905-3
DOI:	10.18154/rwth-conv-250932
Popis:	Scientific reports 12, 19236 (2022). doi:10.1038/s41598-022-23905-3 Published by Macmillan Publishers Limited, part of Springer Nature, [London]
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36cb9e007dff78cbfe9108624437c7d5 Zobrazit plný text záznamu