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Related Experiment Video

Updated: Dec 11, 2025

SCAnED - An Open-source Skin Segmentation Macro for Semi-automated Cell and Nuclei Detection in Epidermal and Dermal Skin Compartments
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Fast fully automatic skin lesions segmentation probabilistic with Parzen window.

João V Souza das Chagas1, Roberto F Ivo2, Matheus T Guimarães3

  • 1Laboratório de Processamento de Imagens, Sinais e Computação Aplicada (LAPISCO), Instituto Federal do Ceará, Fortaleza-CE, Brazil; Departamento da Indústria, Instituto Federal de Educação, Ciência e Tecnologia do Ceará, Brazil.

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|August 25, 2020
PubMed
Summary

This study introduces a fast and automatic skin lesion segmentation method (SPPW) using probabilistic characteristics. The SPPW approach offers a viable, efficient solution for aiding in early skin cancer diagnosis.

Keywords:
Melanoma skinParzen windowProbability density

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Area of Science:

  • Dermatology
  • Medical Imaging
  • Computer Vision

Background:

  • Cutaneous melanoma, a prevalent cancer, has high mortality rates often due to late detection.
  • Early detection is crucial for melanoma's curability, highlighting the need for efficient diagnostic tools.

Purpose of the Study:

  • To develop a fast and automatic method for segmenting skin lesions.
  • To improve the efficiency and accuracy of skin lesion analysis for early melanoma detection.

Main Methods:

  • Proposed a novel segmentation method named SPPW (Segmentation using Probabilistic characteristics with the Parzen window).
  • Evaluated the SPPW method on the PH2 and ISIC datasets for skin lesion segmentation.

Main Results:

  • Achieved high average metrics across datasets: 98.55% specificity, 95.48% accuracy, 91.12% Dice coefficient, 88.45% sensitivity, 87.86% Matthews correlation coefficient, and 84.90% Jaccard Index.
  • Demonstrated a significantly short average segmentation time per image compared to existing methods.

Conclusions:

  • The SPPW method is a quick, viable, and accessible tool for assisting in the diagnosis of diseased skin.
  • The high performance metrics and speed of SPPW make it a promising advancement in automated skin lesion analysis.