Computer Aided Cervical Cancer Diagnosis Using Gazelle Optimization Algorithm With Deep Learning Model-Reference-Cited by-同舟云学术

Computer Aided Cervical Cancer Diagnosis Using Gazelle Optimization Algorithm With Deep Learning Model

Published:2024 Issue: Volume:12 Page:13046-13054
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Nour Mohamed K.¹^ORCID,Issaoui Imène²,Edris Alaa³,Mahmud Ahmed⁴,Assiri Mohammed⁵^ORCID,Ibrahim Sara Saadeldeen⁵

Affiliation:

1. Department of Computer Science, College of Computing and Information Systems, Umm Al-Qura University, Makkah, Saudi Arabia

2. Unit of Scientific Research, Applied College, Qassim University, Buraydah, Saudi Arabia

3. Department of Computer Science and Artificial Intelligence, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia

4. Research Center, Future University in Egypt, New Cairo, Egypt

5. Department of Computer Science, College of Sciences and Humanities—Aflaj, Prince Sattam bin Abdulaziz University, Aflaj, Saudi Arabia

Funder

Future University in Egypt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10384881.pdf?arnumber=10384881

Reference27 articles.

1. Deep learning in image-based breast and cervical cancer detection: a systematic review and meta-analysis

2. Accuracy and Efficiency of Deep-Learning–Based Automation of Dual Stain Cytology in Cervical Cancer Screening

3. Machine Learning Assisted Cervical Cancer Detection

4. Skin disease detection using deep learning;Syed;Adv. Eng. Softw.,2023

5. CytoBrain: Cervical Cancer Screening System Based on Deep Learning Technology

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3. A quantitative analysis of artificial intelligence research in cervical cancer: a bibliometric approach utilizing CiteSpace and VOSviewer;Frontiers in Oncology;2024-09-03

4. Enhanced cervical precancerous lesions detection and classification using Archimedes Optimization Algorithm with transfer learning;Scientific Reports;2024-05-27