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.
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.