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Feed Forward Neural Network for Autofluorescence Imaging Classification

100%
Kulas Z., Bereś-Pawlik E., Wierzbicki J.
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issue 6
1189-1193
EN
The key elements in cancer diagnostics are the early identification and estimation of the tumor growth and its spread in order to determine the area to be operated on. The aim of our study was to develop new methods of analyzing autofluorescence images which will allow us an objective and accurate assessment of the location of a tumor and will also be helpful in determining the advancement of the disease. The proposed classification methods are based on neural network algorithms. An Olympus company endoscopic system was used for an autofluorescence intestine imaging study. The autofluorescence imaging analysis process can be divided into several main stages. The first step is preparation of a training data set. The second one involves selection of feature space, namely the selection of those features which enable distinguishing the pathologically altered areas from the healthy ones. Final stages of the analysis include pathologically changed tissue classification and diagnosis.
2
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Optical Fiber Sensors for Point Investigation οf Cancer Tissues

88%
Beres-Pawlik E., Gasiorek K., Kulas Z., Rzaca M., Czarnecki R.
Acta Physica Polonica A
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2009
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vol. 116
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issue 3
254-256
EN
The paper presents optical fiber sensors for point investigation of cancer tissues. The construction of several sensors has been described, including selection of proper optical fiber as well as the construction of measuring head. Being part of medical endoscopes, presented sensors can be applied to investigate autofluorescence spectra in various tissue areas. The level of autofluorescence intensity indicates the stage of disease advancement. The paper presents the results of investigating autofluorescence spectra for different cancer tissues. Various areas of cancer tissues have been investigated in order to determine the level of disease advancement. In the paper new constructions of fluorescent fiber sensors are presented. The sensors were used to investigate human and animal normal and tumor tissues. The fiber sensors, possible to use in videoendoscopy, are very small. The comparative analysis of fluorescent spectra of normal and tumor tissues is presented.
3
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Point Investigation Method for Cancer Changed Tissues

76%
Kłonowski Ł., Kulas Z., Bereś-Pawlik E., Rząca M., Czarnecki R., Grzebieniak Z.
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EN
In this paper we describe the method of point investigation for cancer changed tissues with application of fluorescence phenomenon. The measurements have been made using a specially constructed scanning setup and fiber sensors. The experiment with investigation of endogenous fluorescence has been made on different types of slide tissues (e.g. breast and intestine tumor or precancerous and pathological skin tissues). The obtained spectral characteristics of fluorescence, with typical intensity peaks in 480-520 nm range, have explicitly outlined healthy and pathologically changed areas. The intensity of detected fluorescence determines the evaluation of disease advancement. Moreover, the ability to scan the surface of a tissue sample with constantly moving step of scanning setup in X-Y axis allows us to present the results in a spatial distribution of fluorescence intensity.
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