Multiclass classification of eye diseases based on fundus images using CNN
No. | Content | Notebook |
---|---|---|
1 | Initial data exploration and analysis. | 01_eye_dis_detect.ipynb |
2 | Data preparation | 02_data_preprocessing.ipynb |
3 | Multi-class classification on the whole dataset with simple augmentation | 03_classification_attempt.ipynb |
4 | Binary-class classification: Normal vs Cataract |
04_binary_classification.ipynb |
5 | Multi-class classification: Normal vs Cataract vs Myopia |
05_multiclass_classification.ipynb |
6 | ConvNet filters analysis | 06_filter_analysis.ipynb |
7 | Simple tool for image augmentation | augmentor.ipynb |
Content | Notebook |
---|---|
Final model (Normal vs Cataract vs Myopia ) |
model5_RGB_n10.h5 |
FINAL - whole project in one notebook (notebooks 1-6 included) | ocular_disease_FINAL.ipynb |
Project presentation | project_presentation.pdf |