| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4958028 | Computer Methods and Programs in Biomedicine | 2017 | 42 Pages |
Abstract
The study demonstrates a fully novel model of segmentation embedded with risk assessment. Among all nine systems, SVM-FDR produced best results. Further, we validated our pRAS system with automatic segmented lesions against manually segmented lesions showing comparable performance.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri,