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Prototype System to Detect Skin Cancer Through Images


  • M. en C. José Luis Calderón Osorno*

    (Instituto Politecnico Nacional, UPIIH, Pachuca de Soto, Hidalgo, Mexico)

  • M. en C. Edmundo René Durán Camarillo

    (Instituto Politecnico Nacional, ESCOM, Ciudad de Mexico, Mexico)

  • M. en C. Silvestre Ascencion Garcia Sanchez

    (Instituto Politecnico Nacional, UPIIH, Pachuca de Soto, Hidalgo, Mexico)


This paper proposes the development of a software that performs the pre-diagnosis of malignant melanoma, spincellular carcinoma and basal-cell carcinoma. The software is divided into five modules, these being: digital imaging, analysis and processing, storage, feature extraction and classification by means of an Artificial Neural Network (ANN). The results shown the performance of the software for two different combination of activation functions in the network. With the use of spectroscopic techniques for the acquisition of images and the combination of non-linear and linear activation functions in the ANN, the software shows an effectiveness greater than 80%, concluding that it can be an effective tool as an aid in the diagnosis of cancer of skin.

Suggested Citation

  • M. en C. José Luis Calderón Osorno* & M. en C. Edmundo René Durán Camarillo & M. en C. Silvestre Ascencion Garcia Sanchez, 2019. "Prototype System to Detect Skin Cancer Through Images," International Journal of Healthcare and Medical Sciences, Academic Research Publishing Group, vol. 5(9), pages 42-51, 09-2019.
  • Handle: RePEc:arp:ijohms:2019:p:42-51

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    Cited by:

    1. Dr. Kyriazopoulos Georgios & Thanou Efthymia, 2020. "Mergers and Acquisitions and how they affect the Labor productivity. Evidence from the Greek Banking system," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(2), pages 1-3.


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