Application of fractal and textural analysis in medical physiology, pathophysiology and pathology

I. Pantić, Jovana Paunović-Pantić, S. Radojevic-Skodric
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引用次数: 1

Abstract

Fractal and textural analyses represent a rapidly developing class of computational and mathematical methods with potential wide applications in medicine and biology. In recent years, they have been successfully used for the evaluation of subtle alterations in cell and tissue morphology associated with various physiological and pathological processes. It has been shown that cells in early stages of apoptosis exhibit changes in chromatin fractal and textural features. Cellular senescence is also sometimes associated with changes in textural patterns in some cell populations. So far, artificial intelligence approaches based on co-occurrence matrix textural data were successfully implemented in predicting cell damage in in vitro conditions, with artificial neural networks achieving the best performance. In the future, several methodological issues and challenges related to the use of fractal and textural methods will have to be resolved before their introduction into contemporary clinical practice. This concise review focuses on the recent research on the application of fractal and textural methods in experimental physiology and related fields.
分形和纹理分析在医学生理学、病理生理学和病理学中的应用
分形和纹理分析代表了一种快速发展的计算和数学方法,在医学和生物学中具有广泛的应用潜力。近年来,它们已成功地用于评估与各种生理和病理过程相关的细胞和组织形态学的细微变化。研究表明,细胞在凋亡早期表现出染色质分形和结构特征的变化。在某些细胞群中,细胞衰老有时也与结构模式的变化有关。目前,基于共现矩阵纹理数据的人工智能方法已成功应用于体外条件下的细胞损伤预测,其中人工神经网络的效果最好。在未来,与使用分形和纹理方法相关的几个方法学问题和挑战必须在它们引入当代临床实践之前得到解决。本文简要介绍了分形和纹理方法在实验生理学及相关领域的最新研究进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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