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Principal Investigator  
Principal Investigator's Name: tomomi daigo
Institution: Nara Institute of Science and Technology
Department: Information Science
Proposed Analysis: Image recognition by deep learning technology enabled machines to diagnose human diseases. The technology requires large amount of training data to get accurate result, though medical image data have a problem of shortage of its supply. Generative Adversarial Networks(GANs) can synthesize new image data which similar to the training data from random noise. This can be a solution to the data shortage problem. We want to check the ability of synthesis and the training process of previously proposed work of Kwon et al. [1] using brain MR images of ADNI Data, and planning to improve the algorithm further. [1] Gihyun Kwon, Chihye Han, Dae-shik Kim, "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks", MICCAI 2019.
Additional Investigators