An Improved Robust Fuzzy Local Information K-Means Clustering Algorithm for Diabetic Retinopathy Detection-Reference-Cited by-同舟云学术

An Improved Robust Fuzzy Local Information K-Means Clustering Algorithm for Diabetic Retinopathy Detection

Published:2024 Issue: Volume:12 Page:78611-78623
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Naz Huma¹^ORCID,Saba Tanzila²^ORCID,Alamri Faten S.³^ORCID,Almasoud Ahmed S.²^ORCID,Rehman Amjad²^ORCID

Affiliation:

1. School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India

2. Artificial Intelligence and Data Analytics Laboratory, College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia

3. Department of Mathematical Sciences, College of Science, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh, Saudi Arabia

Funder

Princess Nourah Bint Abdulrahman University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10506509.pdf?arnumber=10506509

Reference37 articles.

1. Deep learning innovations in diagnosing diabetic retinopathy: The potential of transfer learning and the DiaCNN model

2. The prevalence of foot ulcers in diabetic patients in Pakistan: A systematic review and meta-analysis

3. Investigating Information Needs of Saudi Diabetic Patients

4. Diabetes, oxidative stress, and antioxidants: A review

5. Detection of Hard Exudates Based on Morphological Feature Extraction

Cited by 1 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. Deep fair clustering with multi-level decorrelation;Information Sciences;2024-10