Stacked dense optical flows and dropout layers to predict sperm motility and morphology

8 Nov 2019Vajira ThambawitaPål HalvorsenHugo HammerMichael RieglerTrine B. Haugen

In this paper, we analyse two deep learning methods to predict sperm motility and sperm morphology from sperm videos. We use two different inputs: stacked pure frames of videos and dense optical flows of video frames... (read more)

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