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...

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Detalles Bibliográficos
Autores principales: Cheng, Ting-Wei, Chua, Yi Wei, Huang, Ching-Chun, Chang, Jerry, Kuo, Chin, Cheng, Yun-Chien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196850/
https://www.ncbi.nlm.nih.gov/pubmed/37215788
http://dx.doi.org/10.1016/j.heliyon.2023.e16060

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196850/
https://www.ncbi.nlm.nih.gov/pubmed/37215788
http://dx.doi.org/10.1016/j.heliyon.2023.e16060

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