Gil Joan, Wu Haishan, Wang Beverly Y
Department of Pathology, Mount Sinai School of Medicine, New York, New York 10029, USA.
Microsc Res Tech. 2002 Oct 15;59(2):109-18. doi: 10.1002/jemt.10182.
Image Analysis, a complicated field still in the early stages of application to Pathology, has the capability of rendering major contributions to the diagnosis, prognosis, and management of malignancies of the breast. The present review summarizes the main problems and the general approach to the use of this technique for quantitating immunohistochemical stain results, obtaining DNA histograms, and making de novo diagnoses in routine materials of the Pathology service. In the case of diagnosis, the main steps are sampling, segmentation, and measures of chromatin texture. Currently, the limiting factor for all routine applications of image analysis is probably the absence of a reliable automatic nuclear segmentation.
图像分析作为一个仍处于病理学应用早期阶段的复杂领域，有能力为乳腺癌的诊断、预后和管理做出重大贡献。本综述总结了使用该技术对免疫组织化学染色结果进行定量、获取DNA直方图以及在病理科常规材料中进行重新诊断的主要问题和一般方法。在诊断方面，主要步骤包括采样、分割和染色质纹理测量。目前，图像分析所有常规应用的限制因素可能是缺乏可靠的自动核分割技术。
