Name
Abstract | ||
|---|---|---|
The use of different texture features for the classification of melanocytic lesions is studied in an attempt to develop a computerized method for the early detection of melanoma. The computer laboratory at the University of Oulu has a strong tradition in applications of computer vision to visual inspection for industrial quality control, and some of the methods learnt in these applications are being transferred and experimented with in this medical context. This include the utilization of texture distributions for classification purposes. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1007/3-540-63508-4_155 | ICIAP (2) |
Keywords | Field | DocType |
texture features,melanocytic lesions,quality control,visual inspection,computer vision | Computer vision,Early detection,Visual inspection,Pattern recognition,Computer science,Local binary patterns,Benign nevus,Image processing,Artificial intelligence,Dysplastic nevus | Conference |
ISBN | Citations | PageRank |
3-540-63508-4 | 5 | 1.23 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jukka Kontinen | 1 | 5 | 1.23 |
| Juha Röning | 2 | 404 | 63.51 |
| Rona M. MacKie | 3 | 5 | 1.23 |