Quantative analysis of Histopathological image

P. Saxena, H. Choudhary
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Abstract

In resent time there is no such system by which doctors can relate their qualitative result of Histopathological image, which varies person to person. Histopathological images are the images of diseased tissues of any section of the body. All these are microscopic digital images. To analyze these images by naked eye, it is very difficult. So we develop such a black-box that analyzes the quality of the Histopathological Images using Neural Network. This basically comes under the domain of Digital Image Processing. Objective: Produce a research based system that works on image processing to calculate quality analysis. We have the opportunity to be the first to market in this category.
组织病理图像定量分析
目前还没有这样的系统,医生可以将组织病理学图像的定性结果联系起来,这是因人而异的。组织病理学图像是身体任何部位病变组织的图像。所有这些都是显微数字图像。用肉眼分析这些图像是非常困难的。为此,我们开发了一个用神经网络分析组织病理图像质量的黑盒。这基本上属于数字图像处理的范畴。目的:研制一种基于研究的图像处理计算质量分析系统。我们有机会成为这类产品的第一家上市公司。
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