Cargando…
Detection and Localization of Myocardial Infarction Based on Multi-Scale ResNet and Attention Mechanism
PURPOSE: Myocardial infarction (MI) is one of the most common cardiovascular diseases, frequently resulting in death. Early and accurate diagnosis is therefore important, and the electrocardiogram (ECG) is a simple and effective method for achieving this. However, it requires assessment by a special...
Autores principales: | Cao, Yang, Liu, Wenyan, Zhang, Shuang, Xu, Lisheng, Zhu, Baofeng, Cui, Huiying, Geng, Ning, Han, Hongguang, Greenwald, Stephen E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832050/ https://www.ncbi.nlm.nih.gov/pubmed/35153827 http://dx.doi.org/10.3389/fphys.2022.783184 |
Ejemplares similares
-
S-ResNet: An improved ResNet neural model capable of the identification of small insects
por: Wang, Pei, et al.
Publicado: (2022) -
MAC-ResNet: Knowledge Distillation Based Lightweight Multiscale-Attention-Crop-ResNet for Eyelid Tumors Detection and Classification
por: Huang, Xingru, et al.
Publicado: (2022) -
Multiscale Cascaded Attention Network for Saliency Detection Based on ResNet
por: Jian, Muwei, et al.
Publicado: (2022) -
Fundus image classification using Inception V3 and ResNet-50 for the early diagnostics of fundus diseases
por: Pan, Yuhang, et al.
Publicado: (2023) -
Multi-scale ResNet and BiGRU automatic sleep staging based on attention mechanism
por: Liu, Changyuan, et al.
Publicado: (2022)