Name
Abstract | ||
|---|---|---|
This paper introduces a parametric space to describe the shape of human breasts. The parameter space has been obtained from a sample of about 40 patient's MRI taken in prone position. The data have been cleaned from noise and disturbances and has been dimensionally reduced using Principal Component Analysis. If two references relative to extremal shapes (one of a reconstructed breast and one of a severely aged breast) are taken, all the other shapes span a continuum space that provides an objective way to classify and describe the variability observed in the common clinical practice. |
Year | Venue | Keywords |
|---|---|---|
2010 | BIOSIGNALS 2010: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING | PCA,Shape descriptors,Breast,MRI,3D reconstruction |
Field | DocType | Citations |
Computer vision,Breast shape,Pattern recognition,Computer science,Artificial intelligence | Conference | 3 |
PageRank | References | Authors |
0.49 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| G. Gallo | 1 | 223 | 20.06 |
| Giuseppe Claudio Guarnera | 2 | 104 | 13.02 |
| Giuseppe Catanuto | 3 | 11 | 2.18 |