GAN-based Automatic Segmentation of Thoracic Aorta from Non-contrast-Enhanced CT Images

GAN-based Automatic Segmentation of Thoracic Aorta from Non-contrast-Enhanced CT Images

The deep learning-based automatic segmentation methods have developed rapidly in recent years to give a promising performance in the medical image segmentation tasks, which provide clinical medicine with an accurate and fast computer-aided diagnosis method. Generative adversarial networks and their...

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Bibliographic Details
Main Author: Xu, Libo
Format: Others
Language:English
Published: KTH, Skolan för kemi, bioteknologi och hälsa (CBH) 2021
Subjects:
Non-contrast-enhanced
Medical Image Segmentation
Image-to-image Translation
U-Net
Generative Adversarial Network
End-to-end
Two-stage
Medical Engineering
Medicinteknik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-295428

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-295428

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