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Machine Learning and Medicine, by Rachel Draelos

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Categories

Machine Learning
Medicine
radiology

Tags

2d 3d abdomen anatomy artificial-intelligence attention auc auprc auroc averageprecision backpropagation biology chest chest-x-ray classification cnn code convolution covid19 crossentropy ct-scan data-processing data-representation dataset delong dermatology dimension disease dna ehr filter genetics gpu gradcam heart heatmap kernel kldivergence labs likelihood lungs medical-notes medication memory mlp neuralnetwork nlp nodule oop padding pathology performance-metric pneumonia procedure proteomics python pytorch radiology regression regularization rna saliency segmentation sensitivity sigmoid softmax specificity torchsummary torchvision transcriptomics transformer tutorial unet vision x-ray

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