https://www.selleckchem.com/products/ots514.html
Use of artificial intelligence may increase detection of colorectal neoplasia at colonoscopy by improving lesion recognition (CADe) and reduce pathology costs by improving optical diagnosis (CADx). A multicenter library of ≥ 200 000 images from 1572 polyps was used to train a combined CADe/CADx system. System testing was performed on two independent image sets (CADe 446 with polyps, 234 without; CADx 267) from 234 polyps, which were also evaluated by six endoscopists (three experts, three non-experts). CADe showed sensitivity, specifi
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