JordiCorbilla / ocular-disease-intelligent-recognition-deep-learning
ODIR-2019: Ocular Disease Intelligent Recognition is a project leveraging state-of-the-art deep learning architectures to analyze and classify ocular diseases based on medical imaging data. This repository implements advanced machine learning techniques and modern neural network architectures to push the boundaries of intelligent recognition
RepositoryStats indexes 639,263 repositories, of these JordiCorbilla/ocular-disease-intelligent-recognition-deep-learning is ranked #423,592 (34th percentile) for total stargazers, and #420,580 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #11,061/19,340.
JordiCorbilla/ocular-disease-intelligent-recognition-deep-learning has Github issues enabled, there are 3 open issues and 1 closed issue.
There have been 6 releases, the latest one was published on 2020-06-26 (4 years ago) with the name Inception ResNetV2 Model for ODIR challenge.
Homepage URL: https://jordicorbilla.github.io/ocular-disease-intelligent-recognition-deep-learning/
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updated: 2025-04-06 @ 01:41am, id: 214201647 / R_kgDODMR1Lw