Densenet, Pneumonia Detection, Activation Maps and AUROC
I came across C hexNe t when I was implementing the Pneumonia Detection model for the RSNA Kaggle challenge. Although I didn't implement Chexnet for the challenge, I was interested in doing that in the future. Once I was done with the Protein Detection challenge, I started looking into that. Chexnet is basically Densenet, implemented for detecting various pathologies in Chest X-rays. Hence the name Chexnet. Densenet is a popular neural network architecture, along the lines of ResNet, Inception etc. The dataset used for Chexnet was the NIH dataset . The paper implementing Chexnet tested their model specifically on detecting Pneumonia like features. They compared the model's performance against some radiologists, the F1 score being the determinant of performance. Going by the F1 score alone, it seemed as though the model performed better than the radiologists. But the devil's is in the details. I came across this excellent post by a radiologist/ml engineer. H...