Informace o publikaci

Automatic Detection and Segmentation of Exosomes in Transmission Electron Microscopy

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ŠTĚPKA Karel MAŠKA Martin PÁLENIK Jakub Jozef POSPÍCHALOVÁ Vendula KOTRBOVÁ Anna ILKOVICS Ladislav KLEMOVÁ Dobromila HAMPL Aleš BRYJA Vítězslav MATULA Pavel

Rok publikování 2016
Druh Článek ve sborníku
Konference Computer Vision -- ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part I
Fakulta / Pracoviště MU

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Citace
www http://dx.doi.org/10.1007/978-3-319-46604-0_23
Doi http://dx.doi.org/10.1007/978-3-319-46604-0_23
Obor Informatika
Klíčová slova Exosome; Detection; Segmentation; Transmission electron microscopy; Image processing
Popis We presented a morphological method for automatic detection and segmentation of exosomes in transmission electron microscopy images. The exosome segmentation was carried out using morphological seeded watershed on gradient magnitude image, with the seeds established by applying a series of hysteresis thresholdings, followed by morphological filtering and cluster splitting. We tested the method on a diverse image data set, yielding the detection performance of slightly over 80 %.
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