Naguib R N, Sherbet G V
Department of Electrical and Electronic Engineering, University of Newcastle upon Tyne, UK.
Pathobiology. 1997;65(3):129-39. doi: 10.1159/000164114.
The concept of artificial neural networks dates back to the early part of this century. However, their use in biological and medical research has only vastly proliferated during the last few years. It is now clear that these networks, which attempt to emulate functions of the human brain, can play a vital role in the field of cancer research, where they could be used in the diagnosis, prognosis and patient management stages of cancer evaluation. This paper presents a review of the underlying theory behind artificial neural networks and gives a broad overview of their many areas of application within the cancer field. This is achieved through the prognostic analysis of prostate cancer markers, the non-invasive diagnosis of lymph node involvement in breast cancer patients and the assessment of image cytometric data for predicting the metastatic potential of breast cancer.
人工神经网络的概念可追溯到本世纪初。然而，它们在生物学和医学研究中的应用只是在过去几年才大量增加。现在很明显，这些试图模拟人脑功能的网络在癌症研究领域可以发挥至关重要的作用，可用于癌症评估的诊断、预后和患者管理阶段。本文综述了人工神经网络背后的基础理论，并广泛概述了它们在癌症领域的诸多应用领域。这是通过对前列腺癌标志物的预后分析、乳腺癌患者淋巴结受累情况的非侵入性诊断以及评估图像细胞计量数据以预测乳腺癌转移潜能来实现的。
