Retraction

Image Super-Resolution Reconstruction Method for Lung Cancer CT-Scanned Images Based on Neural Network

Paper Information

Citations (4)

4
Total Citations
2
Post-Retraction
(50.0%)
0
Pre-Retraction
1
Same Day
Post-Retraction Citation Analysis
0 Within 30 days
1 Within 1 year
0 After 2+ years
478 Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Integrated Deep Learning Paradigm for Comprehensive Lung Cancer Segmentation and Classification Using Mask R-CNN and CNN Models
Abimbola G. Akintola, K. Y. Obiwusi, Y. O. Olatunde et al. (7 authors)
Franklin Open Open Access
Published: May 2025
478 days after retraction
Accurate recognition of micromorphology images of epoxy coatings for deep-sea environments based on a deep learning super-resolution method
JiaQi Pan, F Liu, Feng Jia et al. (9 authors)
Corrosion Communications Open Access
Published: Sep 2024
2 citations
236 days after retraction
Retracted: Image Super-Resolution Reconstruction Method for Lung Cancer CT-Scanned Images Based on Neural Network
BioMed Research International
BioMed Research International Open Access
Published: Jan 2024
Same day as retraction
Quick Stats
Total Citations: 6
Years Since Retraction: 1.9 year
Open Access: Yes
Last Checked: Jul 24, 2025
Related Papers
Atomic Scale Interactions between RNA and DNA Aptamers with…
BioMed Research International • 9 citations
Applicability of High-Frequency Ultrasound to the Early Dia…
BioMed Research International • 6 citations
A Systematic Analysis on COVID-19 Patients in Inner Mongoli…
BioMed Research International • 2 citations
Empirical Method for Thyroid Disease Classification Using a…
BioMed Research International • 67 citations
Classification of Diabetes Using Photoplethysmogram (PPG) W…
BioMed Research International • 51 citations