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Fully automated organ bud detection and segmentation for Laser Capture Microdissection applications

机译:用于激光捕获显微切割应用的全自动器官芽检测和分割

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Laser Capture Microdissection is a technique capable of isolating and extracting specific groups of cells of interest from microscopic regions in tissue samples. The final extraction result relies completely on the operator's ability to discriminate the tissue of interest, a very difficult task in the case of an embryo organ bud which doesn't even resemble the future organ. In this work we present a fully automated approach for localization of organ buds into embryos and segmentation of the corresponding tissue using topological, textural and morphological features processed by a Machine Learning approaches, and that can be generalized for any desired bud, species, developmental stage and preparation.
机译:激光捕获显微切割术是一种能够从组织样本中的微观区域分离和提取特定目标细胞组的技术。最终的提取结果完全取决于操作员区分目标组织的能力,这对于胚胎器官的芽甚至不像未来器官的器官来说都是一项艰巨的任务。在这项工作中,我们提出了一种完全自动化的方法,该方法利用机器学习方法处理的拓扑,纹理和形态特征,将器官芽定位到胚胎中并分割相应的组织,并且可以推广到任何所需的芽,物种,发育阶段和准备。

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