Deep learning based classification of COVID-19 severity using hierarchical deep maxout model

M. Surya Bhupal Rao; Y. Mallikarjuna Rao; C. Venkataiah; G. L. N. Murthy; M. Dharani; Manjula Jayamma

doi:10.1016/j.bspc.2023.105653

ScienceGate Book Chapters

JOURNAL ARTICLE

Deep learning based classification of COVID-19 severity using hierarchical deep maxout model

M. Surya Bhupal Rao Y. Mallikarjuna Rao C. Venkataiah G. L. N. Murthy M. Dharani Manjula Jayamma

Year: 2023 Journal: Biomedical Signal Processing and Control Vol: 88 Pages: 105653-105653 Publisher: Elsevier BV

DOI: 10.1016/j.bspc.2023.105653

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Artificial intelligence Deep learning Coronavirus disease 2019 (COVID-19) Python (programming language) Machine learning Classifier (UML) Convergence (economics) Pattern recognition (psychology) Data mining Infectious disease (medical specialty)

Metrics

Cited By

1.24

FWCI (Field Weighted Citation Impact)

Refs

0.77

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

COVID-19 diagnosis using AI

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Radiomics and Machine Learning in Medical Imaging

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Deep learning based classification of COVID-19 severity using hierarchical deep maxout model

Metrics

Citation History

Topics

Related Documents

COVID-19 Severity Classification Using a Hierarchical Classification Deep Learning Model

COVID-19 Hierarchical Classification Using a Deep Learning Multi-Modal

Covid-19 Classification and Detection Model using Deep Learning

Deep Transfer Learning Based Classification Model for COVID-19 Disease

Deep Learning Models For Classification of Covid-19 Severity Levels