Abstract

A technique for the morphological diagnosis of Reed Sternberg cells in Hodgkin’s lymphoma using artificial neural networks is proposed. A flexible architecture of a software complex comprising several modules for automatic biopsy analysis is developed. These software modules, consisting of artificial neural networks, are necessary for processing raw data. Various techniques for training neural networks under conditions of insufficient data for the current and similar problems are analyzed.

中文翻译：

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里德·斯特恩伯格细胞识别霍奇金淋巴瘤中。

摘要

提出了一种利用人工神经网络对霍奇金淋巴瘤中的Reed Sternberg细胞进行形态学诊断的技术。开发了包括多个用于自动活检分析的模块的软件复合体的灵活架构。这些由人工神经网络组成的软件模块是处理原始数据所必需的。分析了在当前和类似问题的数据不足的情况下训练神经网络的各种技术。