PoxNet22: A Fine-Tuned Model for the Classification of Monkeypox Disease Using Transfer Learning-Reference-Cited by-同舟云学术

PoxNet22: A Fine-Tuned Model for the Classification of Monkeypox Disease Using Transfer Learning

Published:2023 Issue: Volume:11 Page:24053-24076
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Yasmin Farhana¹,Hassan Md. Mehedi²^ORCID,Hasan Mahade¹,Zaman Sadika³^ORCID,Kaushal Chetna⁴^ORCID,El-Shafai Walid⁵^ORCID,Soliman Naglaa F.⁶^ORCID

Affiliation:

1. Department of Computer Application Technology, Changzhou University, Changzhou, China

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

3. Department of Computer Science and Engineering, North Western University, Khulna, Bangladesh

4. Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India

5. Computer Science Department, Security Engineering Laboratory, Prince Sultan University, Riyadh, Saudi Arabia

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

Funder

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia, through Researchers Supporting

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/ielx7/6287639/10005208/10063857.pdf?arnumber=10063857

Reference41 articles.

1. Impact of Deep Learning and Machine Learning in Industry 4.0

2. Classification of Monkeypox Images Based on Transfer Learning and the Al-Biruni Earth Radius Optimization Algorithm

3. Leveraging Transfer Learning for Effective Recognition of Emotions from Images: A Review

4. Deep learning‐based microarray cancer classification and ensemble gene selection approach

5. Monkeypox skin lesion detection using deep learning models: A feasibility study;ali;arXiv 2207 03342,2022

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Emerging Trends in Applying Artificial Intelligence to Monkeypox Disease: A Bibliometric Analysis;Applied Data Science and Analysis;2024-09-08

2. ConjunctiveNet: an improved deep learning-based conjunctive-eyes segmentation and severity detection model;International Journal of Intelligent Computing and Cybernetics;2024-08-20

3. Ultrafast‐and‐Ultralight ConvNet‐Based Intelligent Monitoring System for Diagnosing Early‐Stage Mpox Anytime and Anywhere;Advanced Intelligent Systems;2024-06-10

4. Classification of monkeypox images using Al-Biruni earth radius optimization with deep convolutional neural network;AIP Advances;2024-06-01

5. Mpox-AISM: AI-mediated super monitoring for mpox and like-mpox;iScience;2024-05