Human lymph nodes play a central part of immune defense against infection agents and tumor cells. Lymphoid follicles are compartments of the lymph node which are spherical, mainly filled with B cells. B cells are cellular components of the adaptive immune systems. In the course of a specific immune response, lymphoid follicles pass different morphological differentiation stages. The morphology and the spatial distribution of lymphoid follicles can be sometimes associated to a particular causative agent and development stage of a disease. We report our new approach for the automatic detection of follicular regions in histological whole slide images of tissue sections immuno-stained with actin. The method is divided in two phases: (1) shock filter-based detection of transition points and (2) segmentation of follicular regions. Follicular regions in 10 whole slide images were manually annotated by visual inspection, and sample surveys were conducted by an expert pathologist. The results of our method were validated by comparing with the manual annotation. On average, we could achieve a Zijbendos similarity index of 0.71, with a standard deviation of 0.07.

中文翻译：

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冲击滤波器检测人淋巴结肌动蛋白染色全片图像中的滤泡区域

人类淋巴结在针对感染因子和肿瘤细胞的免疫防御中发挥着核心作用。淋巴滤泡是淋巴结的隔室，呈球形，主要充满B细胞。B细胞是适应性免疫系统的细胞成分。在特定的免疫反应过程中，淋巴滤泡经过不同的形态分化阶段。淋巴滤泡的形态和空间分布有时可能与特定的病原体和疾病的发展阶段有关。我们报告了我们在用肌动蛋白免疫染色的组织切片的组织学全切片图像中自动检测滤泡区域的新方法。该方法分为两个阶段：（1）基于冲击滤波器的过渡点检测和（2）毛囊区域的分割。通过目视检查手动注释了 10 个完整幻灯片图像中的滤泡区域，并由专家病理学家进行样本调查。通过与手动注释的比较，验证了我们方法的结果。平均而言，我们可以达到 0.71 的 Zijbendos 相似性指数，标准差为 0.07。