Abstract
At present the diagnosis of melanoma is mainly performed based on the experience of each doctor. The doctors need some objective measure for diagnosis of melanoma and nevus. But there are few researches on objective index for the diagnosis. This paper deals with features of melanoma and nevus for computer diagnosis. First, we extracted the contour of lesions with image processing. One hundred five values of features were computed based on ABCD-rule. Discriminant analysis showed the accuracy of 96.0% (Specificity of 98.3% and the Sensitivity of 90.0%). The results obviously showed the difference between melanoma and nevus.
| Original language | English |
|---|---|
| Pages (from-to) | 1597-1600 |
| Number of pages | 4 |
| Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Volume | 26 III |
| Publication status | Published - 2004 |
| Event | Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States Duration: 2004 Sept 1 → 2004 Sept 5 |
Keywords
- Benign nevus
- Image processing and discriminant analysis
- Melanoma
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics