Cargando…
Emerging deep learning techniques using magnetic resonance imaging data applied in multiple sclerosis and clinical isolated syndrome patients (Review)
Computer-aided diagnosis systems aim to assist clinicians in the early identification of abnormal signs in order to optimize the interpretation of medical images and increase diagnostic precision. Multiple sclerosis (MS) and clinically isolated syndrome (CIS) are chronic inflammatory, demyelinating...
Autores principales: | Kontopodis, Eleftherios E., Papadaki, Efrosini, Trivizakis, Eleftherios, Maris, Thomas G., Simos, Panagiotis, Papadakis, Georgios Z., Tsatsakis, Aristidis, Spandidos, Demetrios A., Karantanas, Apostolos, Marias, Kostas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393268/ https://www.ncbi.nlm.nih.gov/pubmed/34504594 http://dx.doi.org/10.3892/etm.2021.10583 |
Ejemplares similares
-
Artificial intelligence radiogenomics for advancing precision and effectiveness in oncologic care (Review)
por: Trivizakis, Eleftherios, et al.
Publicado: (2020) -
Advancing COVID-19 differentiation with a robust preprocessing and integration of multi-institutional open-repository computer tomography datasets for deep learning analysis
por: Trivizakis, Eleftherios, et al.
Publicado: (2020) -
A novel deep learning architecture outperforming ‘off-the-shelf’ transfer learning and feature-based methods in the automated assessment of mammographic breast density
por: Trivizakis, Eleftherios, et al.
Publicado: (2019) -
Deep learning opens new horizons in personalized medicine
por: Papadakis, Georgios Z., et al.
Publicado: (2019) -
Interpretable artificial intelligence framework for COVID-19 screening on chest X-rays
por: Tsiknakis, Nikos, et al.
Publicado: (2020)