Supplemental Material, sj-docx-1-tpx-10.1177_0192623320973986 - Using Deep Learning Artificial Intelligence Algorithms to Verify N-Nitroso-N-Methylurea and Urethane Positive Control Proliferative Changes in Tg-RasH2 Mouse Carcinogenicity Studies

Autor:	Rudmann, Daniel, Albretsen, Jay, Doolan, Colin, Gregson, Mark, Dray, Beth, Sargeant, Aaron, D, Donal O’Shea, Jogile Kuklyte, Power, Adam, Fitzgerald, Jenny
Rok vydání:	2020
Předmět:	FOS: Clinical medicine 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
ISSN:	0192-6233
DOI:	10.25384/sage.13352995
Popis:	Supplemental Material, sj-docx-1-tpx-10.1177_0192623320973986 for Using Deep Learning Artificial Intelligence Algorithms to Verify N-Nitroso-N-Methylurea and Urethane Positive Control Proliferative Changes in Tg-RasH2 Mouse Carcinogenicity Studies by Daniel Rudmann, Jay Albretsen, Colin Doolan, Mark Gregson, Beth Dray, Aaron Sargeant, Donal O’Shea D, Jogile Kuklyte, Adam Power and Jenny Fitzgerald in Toxicologic Pathology
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b46b8cc4ae5fa2f2ff44e7559a8af0c Zobrazit plný text záznamu