Cargando…
Performance evaluation of deep learning-based post-processing and diagnostic reporting system for coronary CT angiography: a clinical comparative study
Autores principales: | Luo, Nan, He, Yi, Fan, Jitao, Guo, Ning, Yang, Guang, Kong, Yuanyuan, Wei, Jianyong, Bi, Tao, Zhou, Jie, Cao, Jiaxin, Han, Xianjun, Li, Fang, Zhang, Shiyu, Sun, Rujing, Wang, Zhaozhao, Ma, Tian, Xu, Lixue, Chen, Hui, Li, Hongwei, Wang, Zhenchang, Yang, Zhenghan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9771303/ https://www.ncbi.nlm.nih.gov/pubmed/35120360 http://dx.doi.org/10.1097/CM9.0000000000001913 |
Ejemplares similares
-
Motion artefact reduction in coronary CT angiography images with a deep learning method
por: Ren, Pengling, et al.
Publicado: (2022) -
Diagnostic Accuracy of Subtraction Coronary CT Angiography in Severely Calcified Segments: Comparison Between Readers With Different Levels of Experience
por: Li, Fang, et al.
Publicado: (2022) -
Artificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience
por: Han, Xianjun, et al.
Publicado: (2022) -
A deep learning-based automated algorithm for labeling coronary arteries in computed tomography angiography images
por: Ren, Pengling, et al.
Publicado: (2023) -
Diagnostic Accuracy and Generalizability of a Deep Learning-Based Fully Automated Algorithm for Coronary Artery Stenosis Detection on CCTA: A Multi-Centre Registry Study
por: Xu, Lixue, et al.
Publicado: (2021)