TY - JOUR A1 - Wurzel, Patrick A1 - Ackermann, Jörg A1 - Schäfer, Hendrik A1 - Scharf, Sonja A1 - Hansmann, Martin-Leo A1 - Koch, Ina T1 - Detection of follicular regions in actin-stained whole slide images of the human lymph node by shock filter T2 - Biological chemistry N2 - 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. KW - computer vision KW - digital pathology KW - human lymph node KW - morphological filtering KW - shock filter KW - whole slide image Y1 - 2020 UR - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/62828 UR - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-628281 SN - 1437-4315 N1 - The implementation is available under the following link: https://sourceforge.net/projects/fldetect/. N1 - This investigation was supported by the Wilhelm Sander Stiftung No. 2018.101.1, BMBF, COMPLS2-087, Patho234. VL - 402 IS - 8 SP - 991 EP - 999 PB - de Gruyter CY - Berlin [u.a.] ER -