Monkeypox Diagnosis With Interpretable Deep Learning-Reference-Cited by-同舟云学术

Monkeypox Diagnosis With Interpretable Deep Learning

Published:2023 Issue: Volume:11 Page:81965-81980
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ahsan Md. Manjurul¹^ORCID,Ali Md. Shahin²^ORCID,Hassan Md. Mehedi³^ORCID,Abdullah Tareque Abu⁴,Gupta Kishor Datta⁵,Bagci Ulas⁶,Kaushal Chetna⁷^ORCID,Soliman Naglaa F.⁸^ORCID

Affiliation:

1. Department of Radiology, Machine and Hybrid Intelligence Laboratory, Northwestern University, Chicago, IL, USA

2. Department of Biomedical Engineering, Islamic University, Kushtia, Bangladesh

3. Computer Science and Engineering Discipline, Khulna University, Khulna, Bangladesh

4. Department of Computer Science, Lamar University, Beaumont, TX, USA

5. Department of Computer and Information Science, Clark Atlanta University, Atlanta, GA, USA

6. Department of Radiology, BME, and ECE, Machine and Hybrid Intelligence Laboratory, Northwestern University, Chicago, IL, USA

7. Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India

8. Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Funder

Deanship of Scientic Research, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10198433.pdf?arnumber=10198433

Reference64 articles.

1. A Forecasting Prognosis of the Monkeypox Outbreak Based on a Comprehensive Statistical and Regression Analysis

2. Validation and generalizability of machine learning prediction models on attrition in longitudinal studies

3. Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks

4. An accurate and rapid real-time PCR approach for human monkeypox virus diagnosis;wawina-bokalanga;medRxiv,2022

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