https://www.selleckchem.com/pr....oducts/tunicamycin.h
This ANN accurately identified BCC tumor regions on images of histologic slides (area under the ROC curve 0.993, 95% CI 0.990-0.995; sensitivity 0.965, 95% CI 0.951-0.979; specificity 0.910, 95% CI 0.859-0.96. The ANN implicitly calculated a weight matrix, indicating the regions of a histological image that are important for the prediction of the network. Interestingly, compared to pathologists' eye-tracking results, machine learning algorithms rely on significantly different recognition patterns for tumor identification (p less
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