Classifying skin moles using convolutional neural networks
Abstract
The purpose of the paper was to develop an application that is capable to upload a picture and analyze it in order to determine melanoma lesions using artificial intelligence techniques. The proposed application is designed to use a previously trained convolutional neural network to recognize melanoma. For training, the examples from two known benchmarks were used and several attempts were made to find the best model driven by the neural network. The predictability rate is 0.95. The average time for obtaining the respond is 7 seconds.
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@ "Dunarea de Jos" University of Galati