Name
Abstract | ||
|---|---|---|
We propose a novel method for quantitative interpretation of uncalibrated optical images which is derived explicitly from an analysis of the image formation model. Parameters characterising the tissue are recovered from images acquired using filters optimised to minimise the error. Preliminary results are shown for the skin, where the technique was successfully applied to aid the diagnosis and interpretation of nonmelanocytic skin cancers and acne; and for the more challenging ocular fundus, for mapping of the pigment xanthophyll. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11566489_63 | MICCAI |
Field | DocType | Volume |
Computer vision,Pattern recognition,Computer science,Fundus (eye),Image formation,Artificial intelligence,Fundus image | Conference | 8 |
Issue | ISSN | ISBN |
Pt 2 | 0302-9743 | 3-540-29326-4 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. J. Preece | 1 | 0 | 0.34 |
| I. B. Styles | 2 | 0 | 0.34 |
| S. D. Cotton | 3 | 0 | 0.34 |
| E. Claridge | 4 | 23 | 3.13 |
| A. Calcagni | 5 | 0 | 0.34 |