An image classification model to predict x-ray images for classifying tuberculosis using techniques such as image augmentation, and transfer learning with various pre-trained models. The highest accuracy is 93.9% using the Resnet model.
NonKhuna/tuberculosis-chest-x-rays-shenzhen
Machine learning model for classifying tuberculosis
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