Cargando…
Automatic Assessment of Mitral Regurgitation Severity Using the Mask R-CNN Algorithm with Color Doppler Echocardiography Images
Accurate assessment of mitral regurgitation (MR) severity is critical in clinical diagnosis and treatment. No single echocardiographic method has been recommended for MR quantification thus far. We sought to define the feasibility and accuracy of the mask regions with a convolutional neural network...
Autores principales: | Zhang, Qinglu, Liu, Yuanqin, Mi, Jia, Wang, Xing, Liu, Xia, Zhao, Fenfen, Xie, Cuihuan, Cui, Peipei, Zhang, Qingling, Zhu, Xiangming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452404/ https://www.ncbi.nlm.nih.gov/pubmed/34552659 http://dx.doi.org/10.1155/2021/2602688 |
Ejemplares similares
-
Diastolic Mitral Regurgitation in Intact Mitral Valve Detected by Color Doppler Echocardiography in a Patient with Acute Aortic Regurgitation.
por: Kodamag, Makoto, et al.
Publicado: (1992) -
Self-supervised learning assisted diagnosis for mitral regurgitation severity classification based on color Doppler echocardiography
por: Yang, Feifei, et al.
Publicado: (2022) -
Automatic Segmentation and Assessment of Valvular Regurgitations with Color Doppler Echocardiography Images: A VABC-UNet-Based Framework
por: Huang, Jun, et al.
Publicado: (2023) -
Clinical Use of Doppler Echocardiography in Organic Mitral Regurgitation: From Diagnosis to Patients' Management
por: Grigioni, Francesco, et al.
Publicado: (2015) -
Assessment of Mitral Regurgitation Severity by Doppler Color Flow Mapping of the Vena Contracta in Dogs
por: Di Marcello, M., et al.
Publicado: (2014)