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An open data mining framework for the analysis of medical images: Application on Obstructive Nephropathy microscopy images

机译:用于医学图像分析的开放数据挖掘框架:在阻塞性肾病显微镜图像中的应用

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摘要

This paper presents an open image-mining framework that provides access to tools and methods for the characterization of medical images. Several image processing and feature extraction operators have been implemented and exposed through Web Services. Rapid-Miner, an open source data mining system has been utilized for applying classification operators and creating the essential processing workflows. The proposed framework has been applied for the detection of salient objects in Obstructive Nephropathy microscopy images. Initial classification results are quite promising demonstrating the feasibility of automated characterization of kidney biopsy images.
机译:本文介绍了一个开放的图像挖掘框架,可提供对用于表征医学图像的工具和方法的访问。通过Web服务实现并公开了几种图像处理和特征提取运算符。快速矿工,开源数据挖掘系统已用于应用分类运营商并创建基本处理工作流程。所提出的框架已应用于检测阻塞性肾病显微镜图像中的突出物体。初始分类结果非常有希望证明肾活检图像自动表征的可行性。

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