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System and method for boundary classification and automatic polyp detection

机译:边界分类和息肉自动检测的系统和方法

摘要

A system and method is provided for automated polyp detection in optical colonoscopy images. The system includes an input configured to acquire a series of optical images, and a processor configured to process the optical images. Processing steps include performing a boundary classification with steps comprising locating a series of edge pixels using at least one acquired optical image, selecting an image patch around each said edge pixel, performing a classification threshold analysis on each image patch of said edge pixels using a set of determined boundary classifiers, and identifying, based on the classification threshold analysis, polyp edge pixels consistent with a polyp edge. Processing steps for the processor also include performing a vote accumulation, using the identified polyp edge pixels, to determine a polyp location. The system also includes an output configured to indicate potential polyps using the determined polyp location.
机译:提供了一种用于在光学结肠镜检查图像中自动检测息肉的系统和方法。该系统包括配置为获取一系列光学图像的输入,以及配置为处理光学图像的处理器。处理步骤包括执行边界分类,该边界分类的步骤包括使用至少一个获取的光学图像来定位一系列边缘像素,选择围绕每个所述边缘像素的图像块,使用一组对所述边缘像素的每个图像块执行分类阈值分析确定的边界分类器,并基于分类阈值分析识别与息肉边缘一致的息肉边缘像素。处理器的处理步骤还包括使用所识别的息肉边缘像素执行投票累积以确定息肉位置。该系统还包括配置为使用确定的息肉位置指示潜在息肉的输出。

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