Retraction
Fundus image lesion detection algorithm for diabetic retinopathy screening
Paper Information
Record ID:
38418
Author(s):
Publication Date:
August 19, 2020
Retraction Date:
July 04, 2022
(3.4 years years ago)
Subjects:
Institutions:
- Department of Electronics and Communication Engineering, K.L.N. College of Information Technology, Pottapalayam, India
- Department of Electronics and Communication Engineering, Sethu Institute of Technology, Pulloor, India
- Department of Electronics and Communication Engineering, Thiagarajar College of Engineering, Madurai, India
Country:
🇮🇳 IndiaArticle Type:
Publisher:
Springer
Open Access:
Yes
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed
Retraction Details
Citations (18)
18
Total Citations14
Post-Retraction(77.8%)
4
Pre-Retraction0
Same DayPost-Retraction Citation Analysis
2
Within 30 days
7
Within 1 year
3
After 2+ years
819
Days since retraction (latest)
Computationally efficient deep learning models for diabetic retinopathy detection: a systematic literature review
Nazeef Ul Haq, Talha Waheed, Kashif Ishaq et al. (7 authors)
Artificial Intelligence Review
Open Access
Published: Sep 2024
819 days after retraction
An Improved Approach for Semantic Segmentation of Fundus Lesions using R2U-Net
Alejandro Pereira, Carlos Ferreira dos Santos, Marílton Sanchotene de Aguiar et al. (17 authors)
Unknown Journal
Published: Jul 2024
742 days after retraction
Blindness Detection – A Systematic Research
John Raj I Sujapriya S
International Journal of Innovative Science and Research Technology (IJISRT)
Open Access
Published: Jul 2024
1 citation
1 citation
738 days after retraction
Enhanced Semantic Segmentation of Retinal Microlesions through R2U-Net Architecture
Alejandro Pereira, Carlos Santos, Marílton Sanchotene de Aguiar et al. (7 authors)
Unknown Journal
Open Access
Published: Jun 2024
722 days after retraction
Classification of diabetic retinopathy based on Functional Linked Neural network utilizing segmented fundus image features
D. Sasikala, T. Kowsalya, P. Padmaloshani et al. (4 authors)
Biomedical Signal Processing and Control
Published: Apr 2024
3 citations
3 citations
656 days after retraction
Improved Blood Vessel and Optic Disc Segmentation for Automatic Detection of Diabetic Retinopathy
Rajesh U. Yawle, Pradeep B. Mane
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom)
Published: Feb 2024
604 days after retraction
Automated detecting and severity grading of diabetic retinopathy using transfer learning and attention mechanism
Maryam Dinpajhouh, Seyyed Ali Seyyedsalehi
Neural Computing and Applications
Published: Sep 2023
7 citations
7 citations
434 days after retraction
Luminosity and Contrast Adjustment of Fundus Images with Reflectance
Mofleh Hannuf AlRowaily, Hamzah Arof, Imanurfatiehah Ibrahim
Applied Sciences
Open Access
Published: Mar 2023
4 citations
4 citations
244 days after retraction
Paper citing Fundus image lesion detection algorithm for diabet...
Unknown Authors
Unknown Journal
Published: Mar 2023
243 days after retraction
An intelligent approach for detection and grading of diabetic retinopathy and diabetic macular edema using retinal images
Pranoti Nage, Sanjay Shitole, Manesh Kokare
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization
Published: Jan 2023
10 citations
10 citations
185 days after retraction
Survey on Automatic Detection of Diabetic Retinopathy Screening
Bindu Priya Makala, Manoj Kumar D, B. Lakshmi Sirisha
Unknown Journal
Published: Dec 2022
1 citation
1 citation
165 days after retraction
A General Overview of Retinal Lesion Detecting Devices
Suhair Hussein Talib, Osama Qasim Jumah Al-Thahab
Unknown Journal
Published: Oct 2022
112 days after retraction
FunSwin: A deep learning method to analysis diabetic retinopathy grade and macular edema risk based on fundus images
Zhaomin Yao, Yizhe Yuan, Zhenning Shi et al. (7 authors)
Frontiers in Physiology
Open Access
Published: Jul 2022
18 citations
18 citations
21 days after retraction
AI-Based Automatic Detection and Classification of Diabetic Retinopathy Using U-Net and Deep Learning
Anas Bilal, Liucun Zhu, Anan Deng et al. (5 authors)
Symmetry
Open Access
Published: Jul 2022
140 citations
140 citations
8 days after retraction
Diabetic Retinopathy Classification using Deep Learning Technique
K. Sushma Sri, Gurijala. Kusuma Priya, B. Pramodh Kumar et al. (5 authors)
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI)
Published: Apr 2022
7 citations
7 citations
67 days before retraction
An Improved Ensemble Extreme Learning Machine Classifier for Detecting Diabetic Retinopathy in Fundus Images
V. Desika Vinayaki, R. Kalaiselvi
IFIP advances in information and communication technology
Published: Jan 2022
2 citations
2 citations
184 days before retraction
A review on supervised learning methodologies for detection of exudates in diabetic retinopathy
Ujwala W. Wasekar, Ruchika Bathla
Indonesian Journal of Electrical Engineering and Computer Science
Open Access
Published: Aug 2021
3 citations
3 citations
337 days before retraction
Locust based genetic classifier for the diagnosis of diabetic retinopathy
S Mohanalakshmi, C. K. Morarji, S. Soban
Journal of Ambient Intelligence and Humanized Computing
Published: Apr 2021
3 citations
3 citations
442 days before retraction
Quick Stats
Total Citations:
18
Years Since Retraction:
3.4 years
Open Access:
Yes
Last Checked:
Jul 24, 2025