HIGHLIGHTS
- who: Yumi Hanai and collaborators from the School of Bioscience and Biotechnology, Tokyo University of Technology, Katakura-machi, Hachioji have published the Article: Temporal and Locational Values of Images Affecting the Deep Learning of Cancer Stem Cell Morphology, in the Journal: Biomedicines 2022, 941 of /2022/
- what: The model were trained withthe thesame mixed of test 1000datasets. images showed mean value of values almost fordataset the other Similarly,a the AI F-measure model trained with 7 of. According to the previous study in which CSC was predicted from cell morphology, this study showed the . . .
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