Feature-enhanced adversarial semi-supervised semantic segmentation network for pulmonary embolism annotation

Feature-enhanced adversarial semi-supervised semantic segmentation network for pulmonary embolism annotation

This study established a feature-enhanced adversarial semi-supervised semantic segmentation model to automatically annotate pulmonary embolism (PE) lesion areas in computed tomography pulmonary angiogram (CTPA) images. In the current study, all of the PE CTPA image segmentation methods were trained...

Full description

Bibliographic Details
Main Authors: Ting-Wei Cheng, Yi Wei Chua, Ching-Chun Huang, Jerry Chang, Chin Kuo, Yun-Chien Cheng
Format: Article
Language:English
Published: Elsevier 2023-05-01
Series:Heliyon
Subjects:
Pulmonary embolism
Computed tomography pulmonary angiogram
Semantic segmentation
Semi-supervised learning
Unlabeled images
Online Access:http://www.sciencedirect.com/science/article/pii/S240584402303267X

Internet

http://www.sciencedirect.com/science/article/pii/S240584402303267X

Similar Items