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Machine Learning and Medicine, by Rachel Lea Ballantyne Draelos

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Categories

Machine Learning
Medicine
radiology

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abdomen anatomy artificial-intelligence attention auc auprc auroc averageprecision backpropagation biology cell chest chest-x-ray classification cnn code covid19 crossentropy ct-scan data-processing data-representation delong dermatology disease dna ehr genetics genomics gpu gradcam heart heatmap kldivergence labs likelihood lungs maskrcnn medical-notes medication memory mlp neuralnetwork nlp nodule pathology performance-metric pneumonia pretrain procedure protein 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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