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Journal Article |
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1076 |
| issn |
1741-0444
0140-0118 |
| issueIdentifier |
6 |
| pageRange |
1063-1076 |
| publicationName |
Medical & Biological Engineering & Computing |
| startingPage |
1063 |
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http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_e84350a65e9a47198640404e26ee8ec4 |
| bibliographicCitation |
da Silva Senra Filho AC. A hybrid approach based on logistic classification and iterative contrast enhancement algorithm for hyperintense multiple sclerosis lesion segmentation. Medical & Biological Engineering & Computing. 2017 Nov 18;56(6):1063–76. doi: 10.1007/s11517-017-1747-2. |
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http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0002-9689-6053 |
| date |
2017-11-18^^<http://www.w3.org/2001/XMLSchema#date> |
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https://pubmed.ncbi.nlm.nih.gov/29150799
https://doi.org/10.1007/s11517-017-1747-2 |
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https://portal.issn.org/resource/ISSN/1741-0444
http://rdf.ncbi.nlm.nih.gov/pubchem/journal/5586 |
| language |
English |
| source |
https://pubmed.ncbi.nlm.nih.gov/
https://scigraph.springernature.com/
https://www.crossref.org/ |
| title |
A hybrid approach based on logistic classification and iterative contrast enhancement algorithm for hyperintense multiple sclerosis lesion segmentation |
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http://id.nlm.nih.gov/mesh/D008279Q000379
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