6533b835fe1ef96bd129e9a0

RESEARCH PRODUCT

Automatic Monitoring System for the Evolution of the Hemangiomas

Marta ZamfirAlina SultanaElena-catalina Neghina

subject

Fuzzy logic systemComputer sciencebusiness.industryMonitoring systemPattern recognitionmedicine.diseaseFuzzy logicOtsu's methodHemangiomasymbols.namesakemedicinesymbolsPreprocessorSegmentationArtificial intelligencebusiness

description

In this paper we describe an automatic monitoring system for the evolution of infantile hemangiomas using a fuzzy logic system based on two parameters: area and redness. To follow the evolution, we have used for each subject pairs of images at different moments of time. The starting points of the algorithm are the rectangular regions of interest (ROI), manually selected for each of the two images, and automatically segmented using Otsu’s method in combination with different preprocessing methods. Using the results of segmentation, we could compute the evolution of the area and the evolution of the redness of hemangioma. These two parameters were used as input for the fuzzy logic system, obtaining a result of 88.57% of the general evolution of hemangioma, with 17.14% better than the classification score obtained using only redness or only area crisp evaluation. A preliminary registration method is used to show the lesion evolution.

yearjournalcountryeditionlanguage
2019-03-012019 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE)
https://doi.org/10.1109/atee.2019.8724880