February 2019 – Glass Box

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Machine Learning and Medicine, by Rachel Lea Ballantyne Draelos

Month: February 2019

5 Posts

Machine Learning

Measuring Performance: AUC (AUROC)

February 23, 2019

Machine Learning

Measuring Performance: The Confusion Matrix

February 17, 2019

Machine Learning

Measuring Performance: Accuracy

February 16, 2019

Medicine, radiology

Radiology: Normal Chest X-Rays

February 10, 2019

Medicine, radiology

Anatomy for Radiology: Abdomen

February 2, 2019

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Categories

Machine Learning
Medicine
radiology

Tags

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 mlp neuralnetwork nlp nodule pathology performance-metric pneumonia procedure protein proteomics python pytorch radiology regression regularization rna saliency segmentation sensitivity sigmoid softmax specificity transcriptomics transformer unet vision x-ray

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