|
rdf:type |
|
|
lifeskim:mentions |
|
|
pubmed:issue |
3
|
|
pubmed:dateCreated |
1998-2-26
|
|
pubmed:abstractText |
Early detection of breast cancer depends on accurate classification of microcalcifications. We have developed a computer vision system that has the potential to classify microcalcifications objectively and consistently to aid radiologists in diagnosing breast cancer.
|
|
pubmed:language |
eng
|
|
pubmed:journal |
|
|
pubmed:citationSubset |
IM
|
|
pubmed:status |
MEDLINE
|
|
pubmed:month |
Mar
|
|
pubmed:issn |
1076-6332
|
|
pubmed:author |
|
|
pubmed:issnType |
Print
|
|
pubmed:volume |
2
|
|
pubmed:owner |
NLM
|
|
pubmed:authorsComplete |
Y
|
|
pubmed:pagination |
199-204
|
|
pubmed:dateRevised |
2006-11-15
|
|
pubmed:meshHeading |
|
|
pubmed:year |
1995
|
|
pubmed:articleTitle |
Classification of microcalcifications in radiographs of pathologic specimens for the diagnosis of breast cancer.
|
|
pubmed:affiliation |
Department of Radiology, Georgetown University Medical Center, Washington, DC, USA.
|
|
pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, Non-P.H.S.
|
