Cargando…
A review of non-invasive sensors and artificial intelligence models for diabetic foot monitoring
Diabetic foot complications have multiple adverse effects in a person’s quality of life. Yet, efficient monitoring schemes can mitigate or postpone any disorders, mainly by early detecting regions of interest. Nowadays, optical sensors and artificial intelligence (AI) tools can contribute efficientl...
Autores principales: | Kaselimi, Maria, Protopapadakis, Eftychios, Doulamis, Anastasios, Doulamis, Nikolaos |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9635839/ https://www.ncbi.nlm.nih.gov/pubmed/36338484 http://dx.doi.org/10.3389/fphys.2022.924546 |
Ejemplares similares
-
Towards Trustworthy Energy Disaggregation: A Review of Challenges, Methods, and Perspectives for Non-Intrusive Load Monitoring
por: Kaselimi, Maria, et al.
Publicado: (2022) -
COVID-19 Spatio-Temporal Evolution Using Deep Learning at a European Level
por: Kavouras, Ioannis, et al.
Publicado: (2022) -
ELECTRIcity: An Efficient Transformer for Non-Intrusive Load Monitoring
por: Sykiotis, Stavros, et al.
Publicado: (2022) -
Deep Learning for Computer Vision: A Brief Review
por: Voulodimos, Athanasios, et al.
Publicado: (2018) -
A Few-Shot U-Net Deep Learning Model for COVID-19 Infected Area Segmentation in CT Images
por: Voulodimos, Athanasios, et al.
Publicado: (2021)