Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10132677 | Computerized Medical Imaging and Graphics | 2018 | 33 Pages |
Abstract
The experiments results demonstrate that the proposed multi-kernel multi-instance learning framework with bi-level re-sampling can solve the problem in the imbalanced and weakly supervised data for grading diabetic retinopathy, and it improves the diagnosis performance over several state-of-the-art competing methods.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Peng Cao, Fulong Ren, Chao Wan, Jinzhu Yang, Osmar Zaiane,