http://rdf.ncbi.nlm.nih.gov/pubchem/reference/7434450
Outgoing Links
Predicate
Object
contentType
Journal Article|Review
endingPage
4568
issn
2162-2388
2162-237X
issueIdentifier
10
pageRange
4550-4568
publicationName
IEEE Transactions on Neural Networks and Learning Systems
startingPage
4550
bibliographicCitation
Fuyong Xing, Yuanpu Xie, Hai Su, Fujun Liu, Lin Yang. Deep Learning in Microscopy Image Analysis: A Survey. IEEE Trans Neural Netw Learn Syst. 2018 Oct;29(10):4550–68. doi: 10.1109/tnnls.2017.2766168. PMID: 29989994.
creator
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_f749cfdca0d90dd1b6d4e4932dc98ecc
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_b86497ac8b1740763f7397c9eb684c6f
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_0faba3d38dec183161c16590eb021f1a
http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0003-0982-8675
http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0002-1461-3567
date
201810
identifier
https://pubmed.ncbi.nlm.nih.gov/29989994
https://doi.org/10.1109/tnnls.2017.2766168
isPartOf
http://rdf.ncbi.nlm.nih.gov/pubchem/journal/41717
https://portal.issn.org/resource/ISSN/2162-2388
https://portal.issn.org/resource/ISSN/2162-237X
language
English
source
https://pubmed.ncbi.nlm.nih.gov/
https://www.crossref.org/
title
Deep Learning in Microscopy Image Analysis: A Survey
hasPrimarySubjectTerm
http://id.nlm.nih.gov/mesh/D016571
http://id.nlm.nih.gov/mesh/D008853Q000379
http://id.nlm.nih.gov/mesh/D000465
http://id.nlm.nih.gov/mesh/D000077321
http://id.nlm.nih.gov/mesh/D003936
http://id.nlm.nih.gov/mesh/D007091Q000379
hasSubjectTerm
http://id.nlm.nih.gov/mesh/D005260
http://id.nlm.nih.gov/mesh/D008297
http://id.nlm.nih.gov/mesh/D011795
http://id.nlm.nih.gov/mesh/D006801
Total number of triples:
34
.