https://www.selleckchem.com/pr....oducts/pitstop-2.htm
1% (p less then 0.0001) and 1.1% (p less then 0.0001), respectively. The malignancy prediction sensitivity of 23 general public significantly increased by 83.8% (p less then 0.0001). The Top-1 and 3 accuracy of 4 doctors in the multi-class classification of 134 diseases (SNU; 2,201 images) increased by 7.0% (p=0.045) and 10.1% (p=0.002, respectively. The results suggest that our algorithm may serve as an Augmented Intelligence that can empower medical professionals in diagnostic dermatology. Rabies is one of the most dreadful diseas
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