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Using an ontology of the human cardiovascular system to improve the classification of histological images.
Mazo, Claudia; Alegre, Enrique; Trujillo, Maria.
Affiliation
  • Mazo C; UCD School of Computer Science, University College Dublin, Dublin, Ireland. claudia.mazovargas@ucd.ie.
  • Alegre E; CeADAR: Centre for Applied Data Analytics Research, Dublin, Ireland. claudia.mazovargas@ucd.ie.
  • Trujillo M; Industrial and Informatics Engineering School, Universidad de León, León, Spain.
Sci Rep ; 10(1): 12276, 2020 07 23.
Article in En | MEDLINE | ID: mdl-32703995
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cardiovascular System / Cardiovascular Physiological Phenomena / Computational Biology / Gene Ontology / Histocytochemistry Limits: Animals / Humans Language: En Journal: Sci Rep Year: 2020 Document type: Article Affiliation country: Ireland Country of publication: United kingdom
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cardiovascular System / Cardiovascular Physiological Phenomena / Computational Biology / Gene Ontology / Histocytochemistry Limits: Animals / Humans Language: En Journal: Sci Rep Year: 2020 Document type: Article Affiliation country: Ireland Country of publication: United kingdom