Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6950776 | Biomedical Signal Processing and Control | 2018 | 17 Pages |
Abstract
The discriminative features learned via visual attention mechanism is superior to hand-crafted features, and it is easily adaptable to various kind of datasets where generous training images are often scarce. Hence, our approach can be easily integrated into large-scale retinal screening programs where the expensive labelled annotation is often unavailable.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Chetan L. Srinidhi, P. Aparna, Jeny Rajan,