Wyniki wyszukiwania - BazTech

1

Analyses of skin lesion areas after thresholding

Michalska Magdalena

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska

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2020

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T. 10, nr 3

9--12

EN

Melanoma is one of the fastest spreading cancers.The aim of the article is to segment the skin lesionsfrom human skin dermatoscopic images covered by melanoma. Threshold segmentation was used, which allows a single skin lesionto be analyzed. Itshows the four areas of each based on their color. The created software monitors the border of skin lesion areas.Segmentation and analysis of the resulting images with different areas of skin change was carried out in the Matlab software.

PL

Czerniak to jeden z najszybciej rozprzestrzeniających się nowotworów. Celem artykułu jest segmentacja zmiany skórnej z obrazów dermatoskopowych ludzkiej skóry objętych czerniakiem. Użyto segmentacj przez progowanie, która pozwala na analizę pojedyńczejzmiany skórnej. Ukazuje cztery obszary każdej z nich w oparciu o ich barwę. Stworzone oprogramowanie monitoruje granicę obszarów zmiany skórnej. Segmentacjai analiza powstałych obrazów z różnymi obszarami zmiany skórnej została przeprowadzona w środowisku Matlab.

2

Comparison of three In silico models of heat transfer in human body exposed to mild cooling

Buliński P., Ostrowski Z., Adamczyk W.

Studia Informatica

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2016

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Vol. 37, nr 3A

31--42

EN

The comparison of three numerical models of skin undergoing thermal stimulation in a human forearm is presented. Small brass compress is used to cool tissues, followed by the analysis of the skin temperature recovery process. In silico generated results are validated against in vivo measurements on 8 male adults.

PL

W pracy przedstawiono porównanie trzech modeli numerycznych tkanek przedramienia poddanych stymulacji termicznej. Chłodzenie skóry zrealizowano za pomocą mosiężnego kompresu. Analizowano proces powrotu schłodzonej skóry do warunków równowagi termicznej. Wyniki symulacji in silico porównano z pomiarami in vivo wykonanymi dla grupy 8 dorosłych mężczyznach.

3

Validation of a numerical model of locally cooled tissues

Buliński P., Ostrowski Z., Adamczyk W., Fityka A., Nowak A. J.

Computer Assisted Methods in Engineering and Science

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2015

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Vol. 22, no. 4

305--314

EN

Measurements of heat transfer and temporal temperature distribution can be used as input in the diagnostic tools and methods of skin lesions, with special attention paid to malignant melanoma identification. Such approach requires mutual use of skin temperature and heat flux measurements combined with numerical simulation. A mild skin cooling process by a brass compress is considered in this paper. The temperature distribution on the skin and the heat flux between metal and tissues are measured. They are used in the course of validation study of the proposed numerical model. A numerical model of heat transfer in living tissues is described by Pennes’ bioheat equation augmented with additional models of passive thermoregulation and vasoconstriction effects. The information regarding material properties of tissues and cooling compress involved in the simulation is essential to accurately solve this problem. Therefore, the main purpose of this work is to determine the accurate material property information by means of laboratory experiments.

4

Application of covering algorithm for classification of melanoma spots on the skin

Grzymała-Busse J. W., Hippe Z. S.

Journal of Applied Computer Science

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2002

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Vol. 10, nr 2

27-33

EN

An in-house elaborated and implemented covering algorithm was applied. For the development of learning models (in the form of production rules), used then for computer-assisted classification (hence, diagnosing) of melanoma spots on the skin. In our research, four types of marks (namely, Benign nevus, Blue nevus, Suspicious nevus, and Melanoma malignant) have be en investigated. One of the generated learning models (the most promimissing one) was optimized by execution of selected generic operations on production rules, what lead to a very concise set of rules (4 rules only) giving errorless classification of unseen cases tested.