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Visual positioning of previously defined ROIs on microscopic slides

机译:显微镜载玻片上先前定义的ROI的视觉定位

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In microscopy, regions of interest are usually much smaller than the whole slide area. Various microscopy related medical applications, such as telepathology and computer aided diagnosis, are liable to benefit greatly from microscope auto positioning on previously defined regions of interest. In this paper, we present a method for image-based auto positioning on a microscope slide. The method is based on localization of a microscopic query image using a previously acquired slide map. It uses geometric hashing, a highly efficient technique drawn from the object recognition field. The algorithm exhibits high tolerance to possible variations in visual appearance due to slide rotations, scaling and illumination changes. Experimental results indicate high reliability of the algorithm.
机译:在显微镜下,感兴趣的区域通常比整个载玻片区域小得多。各种显微镜相关的医学应用,例如远程病理学和计算机辅助诊断,很可能会受益于在先前定义的感兴趣区域上进行显微镜自动定位而大大受益。在本文中,我们提出了一种在显微镜载玻片上基于图像的自动定位的方法。该方法基于使用先前获取的幻灯片地图的微观查询图像的定位。它使用几何哈希,这是一种从对象识别领域获得的高效技术。该算法对由于幻灯片旋转,缩放和照明变化而导致的视觉外观变化表现出很高的容忍度。实验结果表明该算法具有较高的可靠性。

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