Capillaroscopy Image Analysis as an Automatic Image Annotation Problem

H. Kwasnicka, M. Paradowski, K. Borysewicz
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引用次数: 12

Abstract

Image auto-annotation methods perform the description previously unseen images with a set of words, based on previously shown examples. This is a relatively new paradigm in image processing research domain. Capillaroscopy is a branch of medicine focusing on analysis of vascular changes. Among others, it is a very helpful tool in diagnosis of many rheumatic diseases. The paper presents a preliminary research on usage of image auto-annotation methods for the computer-aided diagnosis from capillaroscopy images.
作为自动图像标注问题的毛细管镜图像分析
图像自动注释方法基于前面显示的示例,使用一组单词执行以前未见过的图像的描述。这是图像处理研究领域中一个比较新的研究范式。毛细管镜检查是医学的一个分支,侧重于分析血管的变化。其中,它是一个非常有用的工具,在许多风湿病的诊断。本文对图像自动标注方法在毛细管镜图像计算机辅助诊断中的应用进行了初步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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