Skip to content
ML experiment for classifying malaria cell images
Jupyter Notebook Python
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Type Name Latest commit message Commit time
Failed to load latest commit information.
Malaria CNN Visualizations.ipynb
Malaria Data Exploration.ipynb

Malaria detection with cell images

Experimenting with ML models to classify pre-segmented red blood cell images as uninfected or infected with P. falciparum. Main work is kept in the Malaria.ipynb Jupyter notebook.


Source data originally comes from the publication:

Rajaraman S, Antani SK, Poostchi M, Silamut K, Hossain MA, Maude, RJ, Jaeger S, Thoma GR. (2018) Pre-trained convolutional neural networks as feature extractors toward improved Malaria parasite detection in thin blood smear images. PeerJ6:e4568

The data was made available by NIH here. It was posted on Kaggle by user Arunava at iarunava/cell-images-for-detecting-malaria.


Work was developed with Python 3.7 and JupyterLab 0.35. Core Python dependencies are listed in requirements.txt, and the full venv contents are listed in requirements-freeze.txt.

Assuming you have already set up Python, Jupyter, and, if desired, a venv and corresponding Jupyter kernel:

$ pip install -r requirements.txt
$ jupyter lab
You can’t perform that action at this time.