Tina Giner
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View article: Superior skin cancer classification by the combination of human and artificial intelligence
Superior skin cancer classification by the combination of human and artificial intelligence Open
Regarding the multiclass task, the combination of man and machine achieved an accuracy of 82.95%. This was 1.36% higher than the best of the two individual classifiers (81.59% achieved by the CNN). Owing to the class imbalance in the binar…
View article: Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks
Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks Open
Our findings show that automated classification of dermoscopic melanoma and nevi images is extendable to a multiclass classification problem, thus better reflecting clinical differential diagnoses, while still outperforming dermatologists …