Classify Malaria infected cells using computer vision and neural network. Implemented with Keras, using tensorflow as backend.
- OpenCV
- Keras
- matplotlib
- tqdm
Download the dataset from https://ceb.nlm.nih.gov/proj/malaria/cell_images.zip extract and place it in a folder named cell_images
I renamed the directories and kept some images (about 1000) aside in a "Test" folder for later testing. The following is the file structure of cell_images folder:
.
└── cell_images
├── Test
│ ├── infected
│ └── uninfected
└── Train
├── infected
└── uninfected
As long as cell_images and Classifier.ipynb are in same directory, there is no need to edit any path in the code. Run the code, and Enjoy! :)