Presentation Information
[2P-620]Morphological characterization of Recql5 mutant early embryos using deep learning
○Makoto Hamaghchi1, Toshimi Yamanaka2, Satoru Iwata3,4,5,6, Miki Nagahara4, Takashi Iwamoto1,3,4 (1. Department of Biomedical Sciences, Graduate School of Life and Health Sciences, Chubu University, 2. Department of Robotic Science and Technology, Graduate School of Engineering, Chubu University, 3. Department of Biomedical Sciences, College of Life and Health Sciences, Chubu University, 4. Center for Education in Laboratory Animal Research, Chubu University, 5. College of Bioscience and Biotechnology, Chubu University, 6. Center for Mathematical Science and Artificial Intelligence, Chubu University)
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