Enhancing Monkeypox Detection With Efficientnet-B5 And Image Augmentation Fusion Technique DOI Open Access
Abdelrahman Omar Yusuf,

ABUBAKAR SADIQ ABDULLAHI,

M. Isah

et al.

International Journal of Scientific Research in Science and Technology, Journal Year: 2024, Volume and Issue: 11(6), P. 646 - 661

Published: Dec. 12, 2024

The recent surge of monkeypox infections worldwide has underscored the need for rapid, accurate diagnostic tools, particularly in regions with limited access to laboratory-based tests. This study employs deep learning, utilizing a pre-trained efficientNet-B5 model through transfer classify from digital skin lesion images. Data was compiled Kaggle, web scraping, and hospital records, covering both similar conditions such as chickenpox, measles smallpox. dataset preprocessed using advanced augmentation fusion techniques, enhancing image diversity maintaining features critical model's efficacy. achieved impressive results, demonstrating 99.47% accuracy, 99.19% precision recall 99.72 monkeypox. These findings suggest that model, supported by fusion, can serve reliable tool detecting monkeypox, providing scalable solution early identification public health intervention resource-constrained settings.

Language: Английский

The Resurgence of Monkeypox: Epidemiology, Clinical Features, and Public Health Implications in the Post-Smallpox Eradication Era DOI Creative Commons
Parminder Singh, Sathvik Belagodu Sridhar, Javedh Shareef

et al.

New Microbes and New Infections, Journal Year: 2024, Volume and Issue: 62, P. 101487 - 101487

Published: Sept. 24, 2024

Language: Английский

Citations

8
Clinical implement of Probe‐Capture Metagenomics in sepsis patients: A multicentre and prospective study DOI Creative Commons
Qin Sun, Ran Teng, Qiankun Shi

et al.

Clinical and Translational Medicine, Journal Year: 2025, Volume and Issue: 15(4)

Published: April 1, 2025

Language: Английский

Citations

0
Diagnostic Accuracy of 3 Mpox Lateral Flow Assays for Antigen Detection, Democratic Republic of the Congo and United Kingdom DOI

Elie Ishara-Nshombo,

Anushri Somasundaran,

Alessandra Romero-Ramirez

et al.

Emerging infectious diseases, Journal Year: 2025, Volume and Issue: 31(6)

Published: May 6, 2025

The ongoing outbreaks of mpox highlight the urgent need for a rapid and low-cost diagnostic test to accurately detect control this emerging disease. We estimated analytical sensitivity using viral culture monkeypox virus clade IIb lineage clinical performance 3 antigen detection tests (Ag-RDT) by skin swab samples upper-respiratory from patients in Democratic Republic Congo United Kingdom. limit was 1.0 × 104 plaque-forming units/mL, fulfilling World Health Organization recommendations. Specificity Ag-RDTs 100%, but at 0.00%-15.79% 0.00% respiratory samples. None reached Organization's target sensitivity, we do not recommend them as or screening tools suspected cases. Accurate diagnosis remain urgently needed.

Language: Английский

Citations

0
Diagnostic accuracy of three mpox lateral flow assays for antigen detection in the Democratic Republic of Congo and the United Kingdom DOI Creative Commons

Elie Ishara-Nshombo,

Anushri Somasundaran,

Alessandra Romero-Ramirez

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 8, 2024

Summary Background The ongoing outbreaks of mpox, the disease caused by monkeypox virus (MPXV) highlight urgent need for a rapid and low-cost MPXV diagnostic test to accurately detect control mpox disease. In this study we assessed accuracy three brands tests antigen detection (Ag–RDT) MPXV. Methods We estimated clinical performance FlowFlex Monkeypox Virus Antigen Rapid Test (ACON Biotech Co., Ltd., Hangzhou, China), Ecotest (Assure Tech. Ltd, STANDARD Q Ag (SD Biosensor, Inc. Republic Korea) using skin lesion swabs (SS) upper–respiratory tract (URS) from 68 participants in Democratic Congo (DRC) 16 United Kingdom (UK). limit (LOD) Ag–RDT was evaluated viral culture IIb lineage (EVAg, France). Findings Although specificity high (100%), sensitivity as 15·79% (95% CI, 5·52–37·57%) Flowflex 10·53% 2·94–31·39%) Standard–Q SS DRC. 0.00% 0·0–20·6%) among URS UK, Ag-RDT 0·0–12·7%) 0·0–21·5%). LOD all determined be 1·0× 10 4 pfu/ml (1·3×10 5 copies/mL) culture. Interpretation None reached target thus do not recommend these or screening tool suspected cases. Marked improvement are needed prior adoption. recommended analytical WHO product profile (TPP) is at 6 pfu/mL, being fulfilled Ag–RDTs suggesting that stated TPP does align with desired sensitivity. There remains an accurate Ag-RDTs diagnosis.

Language: Английский

Citations

2
Diagnostic Accuracy of Three Mpox Lateral Flow Assays for Antigen Detection in the Democratic Republic of Congo and the United Kingdom DOI

Elie Ishara-Nshombo,

Anushri Somasundaran,

Alessandra Romero-Ramirez

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

1
Diagnostic accuracy of polymerase chain reaction for detection of mpox in humans DOI Creative Commons

G. Unnikrishnan,

Abhinav Singh, Abhishek Purohit

et al.

Revista Panamericana de Salud Pública, Journal Year: 2024, Volume and Issue: 48, P. 1 - 1

Published: Dec. 4, 2024

To evaluate diagnostic accuracy of polymerase chain reaction (PCR) in detecting mpox infection humans by pooling the estimates sensitivity and specificity across different study settings.

Language: Английский

Citations

0
Enhancing Monkeypox Detection With Efficientnet-B5 And Image Augmentation Fusion Technique DOI Open Access
Abdelrahman Omar Yusuf,

ABUBAKAR SADIQ ABDULLAHI,

M. Isah

et al.

International Journal of Scientific Research in Science and Technology, Journal Year: 2024, Volume and Issue: 11(6), P. 646 - 661

Published: Dec. 12, 2024

The recent surge of monkeypox infections worldwide has underscored the need for rapid, accurate diagnostic tools, particularly in regions with limited access to laboratory-based tests. This study employs deep learning, utilizing a pre-trained efficientNet-B5 model through transfer classify from digital skin lesion images. Data was compiled Kaggle, web scraping, and hospital records, covering both similar conditions such as chickenpox, measles smallpox. dataset preprocessed using advanced augmentation fusion techniques, enhancing image diversity maintaining features critical model's efficacy. achieved impressive results, demonstrating 99.47% accuracy, 99.19% precision recall 99.72 monkeypox. These findings suggest that model, supported by fusion, can serve reliable tool detecting monkeypox, providing scalable solution early identification public health intervention resource-constrained settings.

Language: Английский

Citations

0