Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2000-2-25
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0739-5175
pubmed:author
pubmed:issnType
Print
pubmed:volume
19
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
48-63
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed-meshheading:10659430-Algorithms, pubmed-meshheading:10659430-Biopsy, pubmed-meshheading:10659430-Breast Neoplasms, pubmed-meshheading:10659430-Cell Nucleus, pubmed-meshheading:10659430-Coloring Agents, pubmed-meshheading:10659430-Female, pubmed-meshheading:10659430-Hematoxylin, pubmed-meshheading:10659430-Humans, pubmed-meshheading:10659430-Image Processing, Computer-Assisted, pubmed-meshheading:10659430-Immunoenzyme Techniques, pubmed-meshheading:10659430-Immunohistochemistry, pubmed-meshheading:10659430-Neural Networks (Computer), pubmed-meshheading:10659430-Pattern Recognition, Automated, pubmed-meshheading:10659430-ROC Curve, pubmed-meshheading:10659430-Receptors, Estrogen, pubmed-meshheading:10659430-Receptors, Progesterone, pubmed-meshheading:10659430-Reproducibility of Results
pubmed:articleTitle
Improved detection of breast cancer nuclei using modular neural networks.
pubmed:affiliation
Department of Computer Science, University of Cyprus.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't