Presentation Information
[2P-497]Joint generation of image–annotation pairs for generative Ground truth augmentation: Application to the training and evaluation of mouse whole-brain cell detection models
*Yuma Okada1, Yusuke Suzuki1,2,3, Itaru Imayoshi1,2,3 (1. Laboratory of Brain Development and Regeneration, Division of Systemic Life Science, Graduate School of Biostudies, Kyoto University, Kyoto, Japan, 2. Center for Living Systems Information Science (CeLiSIS), Kyoto University, Kyoto, Japan, 3. Laboratory of Deconstruction of Stem Cells, Institute for Frontier Life and Medical Sciences, Kyoto University, Kyoto, Japan)
Keywords:
Deep learning,Image Analysis,Automated cell detection
Password required to view
A password is required to view the abstracts.
The password can be found on your name badge (participation certificate).
The password can be found on your name badge (participation certificate).
Comment
To browse or post comments, you must log in.Log in