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Systems of Neuron Image Recognition for Solving Problems of Automated Diagnoses of Neurodegenerative Diseases

机译:用于解决神经退行性疾病自动诊断问题的神经元图像识别系统

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The study of the functioning and development of the nervous system and its main structural– functional units, neurons, is a critical direction in modern medicine and neurobiology. The key stage in this process is analysis of neurons in microscopic images. The application of methods based on mathematical the- ory of pattern recognition and image analysis creates wide novel possibilities for analyzing similar represen- tations of experimental data. The question on creating reliable automated systems for recognition and anal- ysis of histological specumens remains, however, open. In the survey, we present results of an analysis of the methods and systems meant for automated neuron image analysis based on studies published in leading sci- entific journals within the past 25 years.
机译:对神经系统及其主要结构功能单元神经元的功能和发展的研究是现代医学和神经生物学的重要方向。该过程的关键阶段是分析显微图像中的神经元。基于模式识别和图像分析的数学理论的方法的应用为分析相似的实验数据表示形式提供了广泛的新颖可能性。但是,关于创建用于组织学样本识别和分析的可靠自动化系统的问题仍然存在。在调查中,我们根据过去25年在领先的科学期刊上发表的研究结果,提出了用于自动化神经元图像分析的方法和系统的分析结果。

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