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A sophisticated edge detection method for muscle biopsy image analysis

机译:一种肌肉活检图像分析的复杂边缘检测方法

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Muscle biopsy image morphometric analysis provides valuable diagnostic information to expert clinicians. Subsequently, there is an indispensable need to support muscle fiber morphometry with computer-aided automated systems that require no user interaction. The first step towards producing such a system is the automated border detection of muscle fibers. The objective of this work is to investigate the potential performance of edge detection algorithms, as well as any optimal combination of them, towards automated identification of regions of interest in a muscle biopsy image. Finally, a sophisticated edge detection model is proposed, that seems to closely resemble actual fibers boundaries and can be a reliable base for an accurate and effective segmentation of muscle biopsy images.
机译:肌肉活组织检查图像形态学分析为专家临床医生提供了有价值的诊断信息。随后,需要一种不可或缺的需要,支持肌纤维形态学与无需用户交互的计算机辅助自动化系统。制造这种系统的第一步是肌纤维的自动边框检测。这项工作的目的是研究边缘检测算法的潜在性能,以及它们的任何最佳组合,朝着肌肉活检图像的兴趣区域的自动识别。最后,提出了一种复杂的边缘检测模型,其似乎与实际的纤维界相似,并且可以是可靠的肌肉活检图像的准确和有效分割的可靠基础。

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