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"High Resolution U-Net for Quantitatively Analyzing Early Spatial ..."

Slo-Li Chu et al. (2021)

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DOI: 10.1109/EMBC46164.2021.9630956

access: closed

type: Conference or Workshop Paper

metadata version: 2021-12-22

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  dblp key:
  - conf/embc/ChuAYCCT21
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  - https://dblp.org/rec/conf/embc/ChuAYCCT21
Slo-Li Chu, Kuniya Abe, Hideo Yokota, Dooseon Cho, Yuan-Hao Chen, Ming-Dar Tsai:
High Resolution U-Net for Quantitatively Analyzing Early Spatial Patterning of Human Induced Pluripotent Stem Cells on Micropatterns. EMBC 2021: 3713-3716

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