Cargando…
A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images
In 2019, the world experienced the rapid outbreak of the Covid-19 pandemic creating an alarming situation worldwide. The virus targets the respiratory system causing pneumonia with other symptoms such as fatigue, dry cough, and fever which can be mistakenly diagnosed as pneumonia, lung cancer, or TB...
Autores principales: | Alshmrani, Goram Mufarah M., Ni, Qiang, Jiang, Richard, Pervaiz, Haris, Elshennawy, Nada M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626367/ http://dx.doi.org/10.1016/j.aej.2022.10.053 |
Ejemplares similares
-
Hyper-Dense_Lung_Seg: Multimodal-Fusion-Based Modified U-Net for Lung Tumour Segmentation Using Multimodality of CT-PET Scans
por: Alshmrani, Goram Mufarah, et al.
Publicado: (2023) -
Deep-Pneumonia Framework Using Deep Learning Models Based on Chest X-Ray Images
por: Elshennawy, Nada M., et al.
Publicado: (2020) -
VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations
por: Nguyen, Ha Q., et al.
Publicado: (2022) -
AI-CenterNet CXR: An artificial intelligence (AI) enabled system for localization and classification of chest X-ray disease
por: Albahli, Saleh, et al.
Publicado: (2022) -
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
por: Holste, Gregory, et al.
Publicado: (2023)