Local Style Preservation in Improved GAN-Driven Synthetic Image Generation for Endoscopic Tool Segmentation

Local Style Preservation in Improved GAN-Driven Synthetic Image Generation for Endoscopic Tool Segmentation

Accurate semantic image segmentation from medical imaging can enable intelligent vision-based assistance in robot-assisted minimally invasive surgery. The human body and surgical procedures are highly dynamic. While machine-vision presents a promising approach, sufficiently large training image sets...

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Bibliographic Details
Main Authors: Yun-Hsuan Su, Wenfan Jiang, Digesh Chitrakar, Kevin Huang, Haonan Peng, Blake Hannaford
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
robot-assisted minimally invasive surgery
surgical tool segmentation
generative adversarial networks
UNet
medical imaging
Online Access:https://www.mdpi.com/1424-8220/21/15/5163

Internet

https://www.mdpi.com/1424-8220/21/15/5163

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