JOURNAL ARTICLE

Classifying skin moles using convolutional neural networks

Adriana Stratulat-DiaconuAdina Cocu

Year: 2020 Journal:   The Annals of “Dunarea de Jos” University of Galati Fascicle III Electrotechnics Electronics Automatic Control and Informatics Vol: 43 (2)Pages: 9-13   Publisher: University of Galați

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.

Keywords:
Convolutional neural network Computer science Predictability Artificial neural network Artificial intelligence Upload Machine learning Pattern recognition (psychology) Melanoma diagnosis Melanoma Statistics Mathematics Operating system

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Topics

Cutaneous Melanoma Detection and Management
Health Sciences →  Medicine →  Oncology

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