Application of automatic statistical post-processing method for analysis of ultrasonic and digital dermatoscopy images

Libyan J Med. 2018 Dec;13(1):1479600. doi: 10.1080/19932820.2018.1479600.

Abstract

Ultrasonic and digital dermatoscopy diagnostic methods are used in order to estimate the changes of structure, as well as to non-invasively measure the changes of parameters of lesions of human tissue. These days, it is very actual to perform the quantitative analysis of medical data, which allows to achieve the reliable early-stage diagnosis of lesions and help to save more lives. The proposed automatic statistical post-processing method based on integration of ultrasonic and digital dermatoscopy measurements is intended to estimate the parameters of malignant tumours, measure spatial dimensions (e.g. thickness) and shape, and perform faster diagnostics by increasing the accuracy of tumours differentiation. It leads to optimization of time-consuming analysis procedures of medical images and could be used as a reliable decision support tool in the field of dermatology.

Keywords: Gaussian smoothing; ROC analysis; Ultrasound; digital dermatoscopy; melanoma; nonparametric statistics; thresholding.

Publication types

  • Evaluation Study

MeSH terms

  • Decision Support Techniques*
  • Dermoscopy / methods
  • Dermoscopy / statistics & numerical data*
  • Early Detection of Cancer / methods
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Logistic Models
  • Melanocytes / pathology
  • Melanoma / diagnostic imaging*
  • Melanoma / pathology
  • ROC Curve
  • Skin Neoplasms / diagnostic imaging*
  • Skin Neoplasms / pathology
  • Ultrasonography / methods
  • Ultrasonography / statistics & numerical data*

Grants and funding

This work was partially sponsored by the Research Council of Lithuania under the project SkinImageFusion ‘Complex analysis method of spectrophotometric and ultrasound data for the automatic differential diagnosis of early stage malignant skin tumours’.