A clinical consensus-compliant deep learning approach to quantitatively evaluate human in vitro fertilization early embryonic development with optical microscope images
Zaowen Liao, Chaoyu Yan, Jianbo Wang, Ningfeng Zhang, Huan Yang, Cheng-Hao Lin, Haiyue Zhang, Wenjun Wang, Weizhong Li
Topics & Concepts
Artificial intelligenceSegmentationComputer scienceIn vitro fertilisationDeep learningBlastomereEmbryoImage segmentationPattern recognition (psychology)Computer visionEmbryogenesisBiologyGeneticsReproductive Biology and FertilitySperm and Testicular FunctionReproductive Health and Technologies