In this notebook, we perform a binary classification on chest X-ray images to determine whether a person has healthy lungs or is diagnosed with pneumonia. For this classification, we used a custom deep convolutional neural network (CNN) model and achieved an accuracy of 95% on the test set.
python deep-learning cnn pytorch convolutional-neural-networks binary-classification x-ray-images biomedical-images
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Updated
Oct 18, 2024 - Jupyter Notebook