Fine-tuned CNNs reach 96 to 98 percent test accuracy on a 57,111-image chest X-ray task, but Grad-CAM and the authors' own analysis show the models rely in part on non-lung artifacts.
CDC\_Net : multi-classification convolutional neural network model for detection of COVID -19, pneumothorax, pneumonia, lung cancer, and tuberculosis using chest x-rays
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Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method
Fine-tuned CNNs reach 96 to 98 percent test accuracy on a 57,111-image chest X-ray task, but Grad-CAM and the authors' own analysis show the models rely in part on non-lung artifacts.