Name
Abstract | ||
|---|---|---|
Breast cancer is one of the biggest killers in the western world, and early diagnosis is essential for improved prognosis. The shape of the breast varies hugely between the scenarios of magnetic resonance (MR) imaging (patient lies prone, breast hanging down under gravity), X-ray mammography (breast strongly compressed) and ultrasound or biopsy/surgery (patient lies supine), rendering image fusion... |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/TBME.2008.925714 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Breast neoplasms,Deformable models,Predictive models,Elasticity,Shape,Ultrasonic imaging,Mammography,Image coding,Breast biopsy,Surgery | Computer vision,Mammography,Oblique case,Breast cancer,Image fusion,Computer science,Image segmentation,Artificial intelligence,Radiology,Rendering (computer graphics),Elasticity (economics),Magnetic resonance imaging | Journal |
Volume | Issue | ISSN |
55 | 10 | 0018-9294 |
Citations | PageRank | References |
18 | 1.24 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pras Pathmanathan | 1 | 18 | 1.24 |
| David Gavaghan | 2 | 213 | 30.44 |
| Jonathan Whiteley | 3 | 119 | 13.02 |
| S. Jon Chapman | 4 | 214 | 39.13 |
| Michael Brady | 5 | 402 | 58.65 |