Linked Life Data

21096253

Source:http://linkedlifedata.com/resource/pubmed/id/21096253

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2010-11-24
pubmed:abstractText
The automatic detection and segmentation of the pectoral muscle in the medio-lateral oblique view of mammograms is essential for further analysis of breast anormalies. However, it is still a very difficult task since the sizes, shapes and intensity contrasts of pectoral muscles change greatly from image to image. In this paper, an algorithm based on the shortest path on a graph is proposed to automatically detect the pectoral muscle contour. To overcome the difficulties of searching for the path between a lateral and the top margins of the image, this is first transformed, using polar coordinates. In the transformed image, the muscle boundary in amongst the shortest paths between the top and the bottom rows. A comprehensive comparison with manually-drawn contours reveals the strength of the proposed method.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1557-170X
pubmed:author
pubmed:issnType
Print
pubmed:volume
2010
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
4781-4
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Pectoral muscle detection in mammograms based on polar coordinates and the shortest path.
pubmed:affiliation
INESC Porto, Faculdade de Engenharia, Universidade do Porto, Portugal. jaime.cardoso@inescporto.pt
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't