基于组织学虚拟切片的前列腺病理诊断、化学预防反应和预后的定量图像分析。
Quantitative Image Analysis on Histologic Virtual Slides for Prostate Pathology Diagnosis, Response to Chemopreventive Agents, and Prognosis.
机构信息
Section of Pathological Anatomy, Polytechnic University of the Marche Region, School of Medicine, United Hospitals, Ancona, Italy.
Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
出版信息
Eur Urol Focus. 2017 Oct;3(4-5):467-469. doi: 10.1016/j.euf.2016.06.013. Epub 2016 Jul 12.
A recent investigation follows and expands the field of previous studies on the malignancy-associated changes and, above all, adds the missing piece: the role of image analysis of normal-looking prostate epithelium in the prediction of prognosis. This requires combining and integrating our knowledge of uropathology with that of engineering and informatics.
最近的一项研究在之前关于恶性肿瘤相关变化的研究领域进行了跟进和扩展，最重要的是，增加了缺失的部分：正常前列腺上皮的图像分析在预测预后中的作用。这需要将我们的尿路病理学知识与工程学和信息学知识结合起来并进行整合。
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