Synthetic Gastritis Image Generation via Loss Function-Based Conditional PGGAN

In this paper, a novel synthetic gastritis image generation method based on a generative adversarial network (GAN) model is presented. Sharing medical image data is a crucial issue for realizing diagnostic supporting systems. However, it is still difficult for researchers to obtain medical image dat...

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Bibliographic Details
Main Authors: Ren Togo, Takahiro Ogawa, Miki Haseyama
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8751969/