
Archive
52 Posts


Machine Learning, Medicine, radiology
Automatic Interpretation of Chest CT Scans with Machine Learning

Multi-GPU Training in Pytorch: Data and Model Parallelism

Comparing AUCs of Machine Learning Models with DeLong’s Test

Segmentation: U-Net, Mask R-CNN, and Medical Applications

Connections: Log Likelihood, Cross Entropy, KL Divergence, Logistic Regression, and Neural Networks

Guided Grad-CAM is Broken! Sanity Checks for Saliency Maps

CNN Heat Maps: Gradients vs. DeconvNets vs. Guided Backpropagation

Best Use of Train/Val/Test Splits, with Tips for Medical Data
