This study tries to compare the detection of lung diseases using xray scans from three different datasets using three different neural network architectures using Pytorch and perform an ablation study by changing learning rates. The dimensional understanding is visualised using t-SNE and Grad-CAM for visualisation of diseases in x-ray scans.
python
pytorch
transfer-learning
t-sne
chest-xrays
ablation-study
grad-cam-visualization
x-ray-classification
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Updated
Jun 9, 2023 - Jupyter Notebook