Classifying skin moles using convolutional neural networks

  • Adriana Stratulat-Diaconu Dunarea de Jos University of Galati
  • Adina Cocu Dunarea de Jos University of Galati

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.

Downloads

Download data is not yet available.
Published
2020-12-16
How to Cite
1.
Stratulat-Diaconu A, Cocu A. Classifying skin moles using convolutional neural networks. The Annals of “Dunarea de Jos“ University of Galati. Fascicle III, Electrotechnics, Electronics, Automatic Control, Informatics [Internet]. 16Dec.2020 [cited 31Mar.2025];43(2):9-3. Available from: https://gup.ugal.ro/ugaljournals/index.php/eeaci/article/view/4041