Lung nodule classification utilizing support vector machines
Lung cancer is one of the deadly and most common diseases in the world. Radiologists fail to diagnose small pulmonary nodules in as many as 30% of positive cases. Many methods have been proposed in the literature such as neural network algorithms. Recently, support vector machines (SVMs) had receive...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , |
| Format: | article |
| Published: |
2002
|
| Subjects: | |
| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/14647/1/14647_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14647/2/14647_2.doc |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|