Multi-class image classifer for Fundus Opthamologic Medical Imagings
Detects the following disease:
- Normal
- Diabetic Retinopathy
- Cataract
- Glaucoma
- Age Related Macular Degeneration
- Patholical Myopia
from keras.models import Model, load_model
model= load_model(PATH/model.h5)
Download Jupyter Notebooks, Anaconda, Python 3
https://www.anaconda.com/products/individual
https://www.python.org/downloads/
Have the following Python Libraries Installed
- numpy
- pandas
- cv2
- matplotlib
- Tensorflow 2
- Keras
- IPython
- PIL
- sklearn
- itertools
The model was trained and created in AWS Sagemaker. Please note comments to make changes to run locally.
Source | Diease |
---|---|
https://www.kaggle.com/jr2ngb/cataractdataset | Cataracts, Glaucoma |
https://www.kaggle.com/linchundan/fundusimage1000 | Myopia, AMD |
https://www.kaggle.com/nguyenhung1903/diaretdb1-v21 | Diabetic Retinopathy |
http://www5.informatik.uni-erlangen.de/research/data/fundus-images/ | Diabetic Retinopathy, Glaucoma |
https://www.it.lut.fi/project/imageret/diaretdb0/#DOWNLOAD | Diabetic Retinopathy |
https://personalpages.manchester.ac.uk/staff/niall.p.mcloughlin/ | Glaucoma, Diabetic Retinopathy, AMD |
https://ai.baidu.com/broad/download | AMD, Glaucoma, Myopia |
https://www.kaggle.com/andrewmvd/ocular-disease-recognition-odir5k | Diabetic Retinopathy, Normal, Cataract, Glaucoma, AMD, Myopia |