Cargando…
Strong semantic segmentation for Covid-19 detection: Evaluating the use of deep learning models as a performant tool in radiography
INTRODUCTION: With the increasing number of Covid-19 cases as well as care costs, chest diseases have gained increasing interest in several communities, particularly in medical and computer vision. Clinical and analytical exams are widely recognized techniques for diagnosing and handling Covid-19 ca...
Autores principales: | Allioui, H., Mourdi, Y., Sadgal, M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The College of Radiographers. Published by Elsevier Ltd.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9595354/ https://www.ncbi.nlm.nih.gov/pubmed/36335787 http://dx.doi.org/10.1016/j.radi.2022.10.010 |
Ejemplares similares
-
Exploring the Full Potentials of IoT for Better Financial Growth and Stability: A Comprehensive Survey
por: Allioui, Hanane, et al.
Publicado: (2023) -
How deep learning is empowering semantic segmentation: Traditional and deep learning techniques for semantic segmentation: A comparison
por: Sehar, Uroosa, et al.
Publicado: (2022) -
Orchard Mapping with Deep Learning Semantic Segmentation
por: Anagnostis, Athanasios, et al.
Publicado: (2021) -
Systematic Evaluation of Image Tiling Adverse Effects on Deep Learning Semantic Segmentation
por: Reina, G. Anthony, et al.
Publicado: (2020) -
Deep Learning for Semantic Segmentation of Defects in Advanced STEM Images of Steels
por: Roberts, Graham, et al.
Publicado: (2019)