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Machine learning - Feb 2021 - Mar 2021
COVID-19 Detection from Chest X-rays
CNN-based medical image classification project
A machine-learning project focused on practical medical image classification and early-stage decision support.

Context
A machine-learning project focused on practical medical image classification and early-stage decision support.
Problem
The project explored whether image-classification methods could separate COVID-19 chest X-ray images from normal cases.
What I built
A CNN-based machine-learning model in Python for classifying chest X-ray images.
Technical approach
- Used convolutional neural network techniques for medical image classification.
- Focused on the practical workflow around early-stage decision support.
- Kept the public portfolio description limited to the facts available in the CV.
What I learned
The project introduced practical constraints around medical image classification and responsible framing of model outputs.