reference/11577488

Predicate	Object
contentType	Journal Article
issn	1361-8415
pageRange	102251-
publicationName	Medical Image Analysis
startingPage	102251
hasFundingAgency	http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_eb4f340a1767b2ff28113b9d3c67834b
bibliographicCitation	Li W, Li J, Polson J, Wang Z, Speier W, Arnold C. High resolution histopathology image generation and segmentation through adversarial training. Med Image Anal. 2022 Jan;75():102251. doi: 10.1016/j.media.2021.102251. PMID: 34814059.
creator	http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_6519f967358506eed4bf9e98e79512a8 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_801e8b36894f500fd6e66b7a5dac9742 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_751244193702bb1557967650deb44100 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_598f4436284809d4e8451c4c626fb492 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_4bbf71bc22fc61962894585f3188cd25 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_4f0522cd484502b932c9e042cd4e8379
date	202201
identifier	https://pubmed.ncbi.nlm.nih.gov/34814059 https://doi.org/10.1016/j.media.2021.102251
isPartOf	http://rdf.ncbi.nlm.nih.gov/pubchem/journal/21159 https://portal.issn.org/resource/ISSN/1361-8415
language	English
source	https://pubmed.ncbi.nlm.nih.gov/ https://www.crossref.org/
title	High resolution histopathology image generation and segmentation through adversarial training

Total number of triples: 22.