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bioRxiv · 10.1101/2022.04.08.487638

FollicleFinder: automated three-dimensional segmentation of human ovarian follicles

Yamauchi, K. A.·Biniasch, M.·Franz, L.·Gomez, H.·De Geyter, C.·Iber, D.
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Abstract

In vitro fertilization (IVF) treatment protocols require frequent monitoring of the ovarian follicle growth process. We report FollicleFinder, an open source pipeline for the automated, 3D segmentation of ovarian follicles. FollicleFinder also accurately measures clinically-relevant morphological properties such as diameter, surface area, and volume. AvailabilityThe FollicleFinder pipeline is available at https://git.bsse.ethz.ch/iber/ovary-analysis and the graphical user interface is available at https://git.bsse.ethz.ch/iber/follicle-tracker.

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Yamauchi, K. A., Biniasch, M., Franz, L., Gomez, H., De Geyter, C., Iber, D.. 2022-04-10. FollicleFinder: automated three-dimensional segmentation of human ovarian follicles. https://doi.org/10.1101/2022.04.08.487638

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