A Multi-Stage GAN for Multi-Organ Chest X-ray Image Generation and Segmentation

A Multi-Stage GAN for Multi-Organ Chest X-ray Image Generation and Segmentation

Multi-organ segmentation of X-ray images is of fundamental importance for computer aided diagnosis systems. However, the most advanced semantic segmentation methods rely on deep learning and require a huge amount of labeled images, which are rarely available due to both the high cost of human resour...

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Bibliographic Details
Main Authors: Giorgio Ciano, Paolo Andreini, Tommaso Mazzierli, Monica Bianchini, Franco Scarselli
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Mathematics
Subjects:
deep learning
convolutional neural networks
semantic segmentation
generative adversarial networks
chest X-ray
image augmentation
Online Access:https://www.mdpi.com/2227-7390/9/22/2896

Internet

https://www.mdpi.com/2227-7390/9/22/2896

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