Cargando…
Automatic Diagnosis of Stage of COVID-19 Patients using an Ensemble of Transfer Learning with Convolutional Neural Networks Based on Computed Tomography Images
BACKGROUND: Diagnosis of the stage of COVID-19 patients using the chest computed tomography (CT) can help the physician in making decisions on the length of time required for hospitalization and adequate selection of patient care. This diagnosis requires very expert radiologists who are not availabl...
Autores principales: | Gifani, Parisa, Vafaeezadeh, Majid, Ghorbani, Mahdi, Mehri-Kakavand, Ghazal, Pursamimi, Mohamad, Shalbaf, Ahmad, Davanloo, Amirhossein Abbaskhani |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336907/ https://www.ncbi.nlm.nih.gov/pubmed/37448543 http://dx.doi.org/10.4103/jmss.jmss_158_21 |
Ejemplares similares
-
Detection of stage of lung changes in COVID-19 disease based on CT images: a radiomics approach
por: Mehrpouyan, Mohammad, et al.
Publicado: (2022) -
Automated detection of COVID-19 using ensemble of transfer learning with deep convolutional neural network based on CT scans
por: gifani, Parisa, et al.
Publicado: (2020) -
Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study
por: Amini, Mehdi, et al.
Publicado: (2023) -
Assessment of Field-in-Field, 3-Field, and 4-Field Treatment Planning Methods for Radiotherapy of Gastro-Esophageal Junction Cancer
por: Mehri-Kakavand, Ghazal, et al.
Publicado: (2022) -
Dosimetry of small photon fields in the presence of bone heterogeneity using MAGIC polymer gel, Gafchromic film, and Monte Carlo simulation
por: Parwaie, Wrya, et al.
Publicado: (2022)