Retraction
Early diagnosis of diabetic retinopathy using unsupervised learning
Paper Information
Record ID:
63358
Author(s):
Journal:
Publication Date:
May 15, 2023
Retraction Date:
September 02, 2024
(1.2 year years ago)
Subjects:
Institutions:
- Department of Computer Science and Engineering, Faculty of Engineering and Technology, Annamalai University, Chidambaram, Tamil Nadu, India
- Department of Computer Science and Engineering, Annamalai University, Chidambaram, Tamil Nadu, India
- Department of Information Technology, Saranathan College of Engineering, Tiruchirappalli, Tamil Nadu, India
Country:
🇮🇳 IndiaArticle Type:
Publisher:
Springer - Nature Publishing Group
Open Access:
Yes
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed
Retraction Details
Citations (9)
9
Total Citations3
Post-Retraction(33.3%)
5
Pre-Retraction0
Same DayPost-Retraction Citation Analysis
0
Within 30 days
3
Within 1 year
0
After 2+ years
192
Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Optimal Convolutional Networks for Staging and Detecting of Diabetic Retinopathy
Minyar Sassi Hidri, Adel Hidri, Suleiman Ali Alsaif et al. (5 authors)
Information
Open Access
Published: Mar 2025
1 citation
1 citation
192 days after retraction
Paper citing Early diagnosis of diabetic retinopathy using unsu...
Unknown Authors
Unknown Journal
Published: Nov 2024
79 days after retraction
Enhancing ROP plus form diagnosis: An automatic blood vessel segmentation approach for newborn fundus images
José Guilherme de Almeida, Jan Kubíček, Marek Penhaker et al. (8 authors)
Results in Engineering
Open Access
Published: Oct 2024
5 citations
5 citations
36 days after retraction
A High-Accuracy Segmentation Hybrid Method For Retinal Blood Vessel Detection In Fluorescein Angiography Images Of Real Diabetic Retinopathy Patients
Esmat Ramezanzadeh, Nasser Shoeibi, Mehrdad Motamed Shariati et al. (8 authors)
Unknown Journal
Open Access
Published: Mar 2024
2 citations
2 citations
157 days before retraction
A high-accuracy segmentation Hybrid method for retinal blood vessel detection in Fluorescein Angiography images of real Diabetic Retinopathy patients
Hoda Zare, Esmat Ramezanzadeh, Nasser Shoeibi et al. (8 authors)
Unknown Journal
Open Access
Published: Mar 2024
158 days before retraction
A high-accuracy segmentation Hybrid method for retinal blood vessel detection in Fluorescein Angiography images of real Diabetic Retinopathy patients
Hoda Zare, Esmat Ramezanzadeh, Nasser Shoeibi et al. (8 authors)
Unknown Journal
Open Access
Published: Mar 2024
161 days before retraction
A high-accuracy segmentation Hybrid method for retinal blood vessel detection in Fluorescein Angiography images of real Diabetic Retinopathy patients
Esmat Ramezanzadeh, Nasser Shoeibi, Mehrdad Motamed Shariati et al. (8 authors)
Unknown Journal
Open Access
Published: Mar 2024
161 days before retraction
EAMR-Net: A multiscale effective spatial and cross-channel attention network for retinal vessel segmentation
G. Prethija, Jeevaa Katiravan
Mathematical Biosciences & Engineering
Open Access
Published: Jan 2024
3 citations
3 citations
245 days before retraction
Quick Stats
Total Citations:
9
Years Since Retraction:
1.2 year
Open Access:
Yes
Last Checked:
Jul 24, 2025