Linked Life Data

21431585

Source:http://linkedlifedata.com/resource/pubmed/id/21431585

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2011-3-24
pubmed:abstractText
Breast cancer is one of the main causes of death in women. However, its early detection through microcalcifications identification is a powerful tool to save many lives. In this study, we present a supervised microcalcifications detection method based on Fisher's Linear Discriminant. Our method considers knowledge about breast density allowing it to identify microcalcifications even in difficult cases (when there is not high contrast between the microcalcification and the surrounding breast tissue). We evaluated our method with two mammograms databases for each of its phases: breast density classification, microcalcifications segmentation, and false-positive reduction, obtaining cumulative accuracy results around 90% for the microcalcifications detection task.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0065-2598
pubmed:author
pubmed:issnType
Print
pubmed:volume
696
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
451-9
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Microcalcifications detection using Fisher's linear discriminant and breast density.
pubmed:affiliation
National Institute for Astrophysics, Optics, and Electronics, Luis Enrique Erro No. 1, Puebla, 72840, Mexico. g_rodriguez@inaoep.mx
pubmed:publicationType
Journal Article, Evaluation Studies