Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6853307 | Artificial Intelligence in Medicine | 2018 | 13 Pages |
Abstract
We developed an FS method based on SVM-RFE and AC and successfully showed that its use enabled the identification of the most crucial texture feature of each tissue component. Thus, it makes possible the distinction between multiple Gleason grades (e.g. grade 3 vs. grade 4) and its performance is far superior to other reported FS methods.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Shahnorbanun Sahran, Dheeb Albashish, Azizi Abdullah, Nordashima Abd Shukor, Suria Hayati Md Pauzi,