Cargando…
Deep Learning in Physiological Signal Data: A Survey
Deep Learning (DL), a successful promising approach for discriminative and generative tasks, has recently proved its high potential in 2D medical imaging analysis; however, physiological data in the form of 1D signals have yet to be beneficially exploited from this novel approach to fulfil the desir...
Autores principales: | Rim, Beanbonyka, Sung, Nak-Jun, Min, Sedong, Hong, Min |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7071412/ https://www.ncbi.nlm.nih.gov/pubmed/32054042 http://dx.doi.org/10.3390/s20040969 |
Ejemplares similares
-
Deep Learning in Multi-Class Lung Diseases’ Classification on Chest X-ray Images
por: Kim, Sungyeup, et al.
Publicado: (2022) -
Deep-Learning-Based Coronary Artery Calcium Detection from CT Image
por: Lee, Sungjin, et al.
Publicado: (2021) -
Semantic Cardiac Segmentation in Chest CT Images Using K-Means Clustering and the Mathematical Morphology Method
por: Rim, Beanbonyka, et al.
Publicado: (2021) -
Editorial: Machine Learning and Deep Learning for Physiological Signal Analysis
por: Tripathy, Rajesh Kumar, et al.
Publicado: (2022) -
Comprehensive Survey of Recent Drug Discovery Using Deep Learning
por: Kim, Jintae, et al.
Publicado: (2021)