Statistical Techniques Applied to the Automatic Diagnosis of Dermoscopic Images

Authors

  • Valerio De Vita University Federico II of Naples
  • Giuseppe Di Leo Di Leo University of Salerno
  • Gabriella Fabbrocini University Federico II of Naples
  • Consolatina Liguori University of Salerno
  • Alfredo Paolillo University of Salerno
  • Paolo Sommella University of Salerno

DOI:

https://doi.org/10.21014/acta_imeko.v1i1.7

Abstract

An image based system implementing a well-known diagnostic method is disclosed for the automatic detection of melanomas as support to clinicians. The software procedure is able to recognize automatically the skin lesion within the digital image, measure morphological and chromatic feature, carry out a suitable classification for the detection of structural dermoscopic criteria provided by the 7-Point Check. Statistical techniques are introduced and adopted for border detection, feature extraction and classification as well as the resulting diagnostic score are described with reference to a large image set of pigmented lesions.

Author Biographies

Valerio De Vita, University Federico II of Naples

Dermatology Research

Giuseppe Di Leo Di Leo, University of Salerno

Department of Industrial Engineering PhD

Gabriella Fabbrocini, University Federico II of Naples

Dermatology Research
Assistant Professor

Consolatina Liguori, University of Salerno

Department of Industrial Engineering
Assistant Professor

Alfredo Paolillo, University of Salerno

Department of Industrial Engineering
Researcher

Paolo Sommella, University of Salerno

Department of Industrial Engineering
PhD

ACTA IMEKO Vol 1 No 1 (2012)

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Published

2012-07-10

Issue

Vol. 1 No. 1 (2012)

Section

Research Papers

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