Cargando…
Comparative Analysis of Deep Learning Models Used in Impact Analysis of Coronavirus Chest X-ray Imaging
The impact analysis of deep learning models for COVID-19-infected X-ray images is an extremely challenging task. Every model has unique capabilities that can provide suitable solutions for some given problem. The prescribed work analyzes various deep learning models that are used for capturing the c...
Autores principales: | Nallakaruppan, Musiri Kailasanathan, Ramalingam, Subhashini, Somayaji, Siva Rama Krishnan, Prathiba, Sahaya Beni |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687278/ https://www.ncbi.nlm.nih.gov/pubmed/36359310 http://dx.doi.org/10.3390/biomedicines10112791 |
Ejemplares similares
-
A Cluster-Based Energy-Efficient Secure Optimal Path-Routing Protocol for Wireless Body-Area Sensor Networks
por: Dass, Ruby, et al.
Publicado: (2023) -
Deep Ensemble Model for Classification of Novel Coronavirus in Chest X-Ray Images
por: Ahmad, Fareed, et al.
Publicado: (2021) -
Coronavirus disease analysis using chest X-ray images and a novel deep convolutional neural network
por: Khan, Saddam Hussain, et al.
Publicado: (2021) -
DTBV: A Deep Transfer-Based Bone Cancer Diagnosis System Using VGG16 Feature Extraction
por: Suganeshwari, G., et al.
Publicado: (2023) -
COVID-19 chest X-ray image analysis by threshold-based segmentation
por: Al-Zyoud, Walid, et al.
Publicado: (2023)