Image classification of Pap-smears
Exploratory study on Cervical Cancer: verifying known causal relations and assessing risk factors from women medical history datasets.
This is a machine learning classifier of whether a patient has or does not have cervical cancer based on certain risk factors. The code is written in Python and executed on a Jupyter Notebook.
This project is inspired by the Intel-sponsored Kaggle challenge to prevent cervical cancer. Phyton3
Code implementation of the paper 'Overlapped Cervical Cell Region Segmentation' by Shaad Fazal and R.M. Dansereau presented at the 2024 IEEE International Symposium on Medical Measurements and Applications held at Eindhoven, Netherlands June 26-28 2024.
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