https://www.selleckchem.com/products/Y-27632.html
RESULTS The trained CNN detected 94.7% (378 of 399) of SNADETs on an image basis (94% [280 of 298] of adenomas and 100% [101 of 101] of HGDs) and 100% on a tumor basis. The time needed for screening the 399 images containing SNADETs and all 1,080 images (including normal images) was 12 and 31 seconds, respectively. DISCUSSION We used a novel algorithm to construct a CNN for detecting SNADETs in a short time.OBJECTIVES The cecal intubation rate (CIR) is one of the 3 priority indicators for quality in colonoscopy. Whether continuous measu
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