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首页> 外文期刊>Journal of Clinical Medicine Research >Computer-aided Image Processing of Angiogenic Histological Samples in Ovarian Cancer
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Computer-aided Image Processing of Angiogenic Histological Samples in Ovarian Cancer

机译：卵巢癌血管组织学样本的计算机辅助图像处理

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This article reviews the questions regarding the image evaluation of angiogeneic histological samples, particularly the ovarian epithelial cancer. Review is focused on the principles of image analysis in the field of histology and pathology. The definition, classification, pathogenesis and angiogenesis regulation in the ovaries are also briefly discussed. It is hoped that the complex image analysis together with the patient’s clinical parameters will allow an acquiring of a clear pathogenic picture of the disease, extension of the differential diagnosis and become a useful tool for the evaluation of drug effects. The challenge of the assessment of angiogenesis activity is the heterogeneity of several objects: parameters derived from patient’s anamnesis as well as of pathology samples. The other unresolved problems are the subjectivity of the region of interest selection and performance of the whole slide scanning.doi:10.4021/jocmr2009.12.1274
机译：本文回顾了有关血管生成组织学样本，尤其是卵巢上皮癌的图像评估的问题。综述着眼于组织学和病理学领域的图像分析原理。还简要讨论了卵巢的定义，分类，发病机制和血管生成调控。希望通过复杂的图像分析以及患者的临床参数，可以获取疾病的清晰病原体图像，扩大鉴别诊断的范围，并成为评估药物疗效的有用工具。评估血管生成活性的挑战是几个对象的异质性：从患者的病历以及病理样本中得出的参数。其他未解决的问题是感兴趣区域选择的主观性和整个幻灯片扫描的性能.doi：10.4021 / jocmr2009.12.1274

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