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3 Journal of Medical Informatics & Technologies

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Local embedding and dimensionality reduction in detection of skin tumor tissue

Michalak M., Świtoński A.

Journal of Medical Informatics & Technologies

2012

Vol. 19

59--65

This article shows the limitation of the usage of dimensionality reduction methods. For this purpose three algorithms were analyzed on the real medical data. This data are multispectral images of human skin labeled as tumor or non-tumor regions. The classification of new data required the special algorithm of new data mapping that is also described in the paper. Unfortunately, the final conclusion is that this kind of local embedding algorithms should not be recommended for this kind of analysis and prediction.

Detection of human eye components on the basis of multispectral imaging

Michalak M., Nurzyńska K., Świtoński A.

Journal of Medical Informatics & Technologies

2012

Vol. 19

41--47

In this paper the methods for selecting of the most important parts of the human eyes are described. On the basis of the real 21 channel multispectral images the model of finding the lens and the spot are defined. These methods are based on the most popular algorithms of image processing. The approach to veins detection is still undefined but in the article the most important channels are pointed out and the channel difference between eyelash and the veins is also mentioned.

Selection of the most important components from multispectral images for detection of tumor tissue

Michalak M., Świtoński A., Stawarz M.

Journal of Medical Informatics & Technologies

2011

Vol. 17

303--308

The problem raised in this article is the selection of the most important components from multispectral images for the purpose of skin tumor tissue detection. It occured that 21 channel spectrum makes it possible to separate healthy and tumor regions almost perfectly. The disadvantage of this method is the duration of single picture acquisition because this process requires to keep the device very stable. In the paper two approaches to the problem are presented: hill climbing strategy and some ranking methods.