Abstract | ||
---|---|---|
A new method is proposed to unambiguously define a geometric partitioning of 3D models of female thorax. A breast partitioning scheme is derived from simple geometric primitives and well-defined anatomical points. Relevant measurements can be extrapolated from breast partition. Our method has been tested on a number of breast 3D models acquired by means of a commercial scanner on real clinical cases. |
Year | DOI | Venue |
---|---|---|
2006 | 10.1007/11866565_95 | MICCAI |
Field | DocType | Volume |
Computer vision,Breast shape,Breast surgery,Pattern recognition,Computer science,Geometric primitive,Female thorax,Scanner,Artificial intelligence | Conference | 9 |
Issue | ISSN | ISBN |
Pt 1 | 0302-9743 | 3-540-44707-5 |
Citations | PageRank | References |
7 | 0.65 | 3 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Giovanni Maria Farinella | 1 | 412 | 57.13 |
G. Impoco | 2 | 104 | 12.03 |
G. Gallo | 3 | 223 | 20.06 |
Salvatore Spoto | 4 | 40 | 3.10 |
Giuseppe Catanuto | 5 | 11 | 2.18 |
Maurizio B. Nava | 6 | 7 | 0.65 |