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Melanoma remains the leading cause of death from skin cancer, and the incidence remains high
diagnosis
Dermoscopy patterns and various diagnostic algorithms for melanoma have been identified, but early-stage or featureless melanoma remains difficult to diagnose
Recently, there have been many reports on the high level of diagnostic accuracy of convolutional neural networks (CNNs) for skin cancer detection in clinical and dermoscopic images
One study used quadruple images of 59 high-risk patients, each containing one melanoma and three nevi (236 lesions), whose dynamics during SDD were diagnosed as melanoma
Of the 59 baseline quartets, CNN-1 correctly classified 9 (15.
Experiments have confirmed that CNN cannot replace the diagnostic status of SDD
Source: Winkler JK, Tschandl P, Toberer F, Monitoring patients at risk for melanoma: May convolutional neural networks replace the strategy of sequential digital dermoscopy? Eur J Cancer 2022 01;160
Winkler JK, Tschandl P, Toberer F, Monitoring patients at risk for melanoma: May convolutional neural networks replace the strategy of sequential digital dermoscopy? Eur J Cancer 2022 01;160leave a message here
