About: Learning from only positive and unlabeled data to detect lesions in vascular CT images

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About: Learning from only positive and unlabeled data to detect lesions in vascular CT images Goto Sponge NotDistinct Permalink

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scientific article published on 01 January 2011

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована у 2011 (uk) article scientifique (publié 2011) (fr) artículu científicu espublizáu en xineru de 2011 (ast) artikull shkencor i botuar më 01 janar 2011 (sq) scientific article published on 01 January 2011 (en)
publication date	wds:Q62498752-69B56EA7-6BCF-48C6-94D6-76F494085CAD
publication date	2011-01-01 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q62498752-12BFF6FB-9C44-40D5-AB19-8641B17682AD
language of work or name	English
author name string	wds:Q62498752-3C56969D-CD5F-46C8-A241-7C4987AE59FE wds:Q62498752-57B06A24-62F4-4259-8015-DFBF5B282435 wds:Q62498752-68BD4C3B-BDB4-471F-8097-8474C36178FB
author name string	Edgar J F Delgado Leyton Marcela Hernández Hoyos Maciej Orkisz
rdfs:label	Learning from only positive and unlabeled data to detect lesions in vascular CT images (en) Learning from only positive and unlabeled data to detect lesions in vascular CT images (nl) Learning from only positive and unlabeled data to detect lesions in vascular CT images (sq)
skos:prefLabel	Learning from only positive and unlabeled data to detect lesions in vascular CT images (en) Learning from only positive and unlabeled data to detect lesions in vascular CT images (nl) Learning from only positive and unlabeled data to detect lesions in vascular CT images (sq)
name	Learning from only positive and unlabeled data to detect lesions in vascular CT images (en) Learning from only positive and unlabeled data to detect lesions in vascular CT images (nl) Learning from only positive and unlabeled data to detect lesions in vascular CT images (sq)
author	wds:Q62498752-69741B7C-A123-4574-A194-45EF71C22ED1 wds:Q62498752-8308A6AD-6FA5-41A2-B74C-6DF5E7317128
author	Maria A Zuluaga Don R. Hush
title	wds:Q62498752-9A191383-70D6-47FE-9817-107B5CEE2528
title	Learning from only positive and unlabeled data to detect lesions in vascular CT images (en)
page(s)	wds:Q62498752-EA277DB6-6FFD-4B39-999D-973D3A073C1F
page(s)	9-16
instance of	wds:Q62498752-A481968D-1D43-4C95-ADA9-E2E2F1AC957C
instance of	scholarly article
PubMed ID	wds:Q62498752-2E7EBC05-A8E6-4D07-A5EE-DECD7C5FE1BF
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/22003678
PubMed ID	22003678
DBLP publication ID	wds:Q62498752-5142D98D-FCD0-4411-BB80-0BA7160CF31E
DBLP publication ID	https://dblp.org/rec/conf/miccai/ZuluagaHLHO11
DBLP publication ID	conf/miccai/ZuluagaHLHO11
issue	wds:Q62498752-C875CD8B-519F-48F3-840E-2F546C9EC010
volume	wds:Q62498752-48C54029-4EB0-4823-9F03-39634FFB9EC9
issue	Pt 3
volume	14
DOI	wds:Q62498752-30F907FC-5A35-4C18-9590-3951AE40C096
DOI	http://dx.doi.org/10.1007/978-3-642-23626-6_2
DOI	10.1007/978-3-642-23626-6_2
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q62498752
is cites work of	Do We Need Large Annotated Training Data for Detection Applications in Biomedical Imaging? A Case Study in Renal Glomeruli Detection Machine Learning for Assessment of Coronary Artery Disease in Cardiac CT: A Survey Automatic Coronary Wall and Atherosclerotic Plaque Segmentation from 3D Coronary CT Angiography
is cites work of	wds:Q62805904-38D76CB7-DD75-4CD8-90A0-CB7AC235DCE6 wds:Q60912931-68D53A93-8A32-44B0-8668-9A09C725D1D1 wds:Q89623483-2E95D47B-A7D5-4050-A5D4-B5D67BF6557D

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