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