Retraction
Skin cancer diagnosis based on a hybrid AlexNet/extreme learning machine optimized by Fractional-order Red Fox Optimization algorithm
Paper Information
Record ID:
49333
Author(s):
Journal:
Publication Date:
February 07, 2022
Retraction Date:
October 13, 2022
(3.1 years years ago)
Subjects:
Institutions:
- Department of Computer Science and Technology, Lvliang University, Lvliang, Shanxi, China
- School of Computer and Information Technology, Shanxi University, Taiyuan, Shanxi, China
- Institute of Artificial Intelligence, Guangxi University for Nationalities, Nanning, Guangxi, China
- University of Wisconsin-Madison, Madison, WI, USA
Countries:
Article Type:
Publisher:
SAGE Publications
Open Access:
Yes
PubMed ID:
Retraction PubMed ID:
Retraction Details
Citations (5)
5
Total Citations3
Post-Retraction(60.0%)
1
Pre-Retraction0
Same DayPost-Retraction Citation Analysis
0
Within 30 days
1
Within 1 year
1
After 2+ years
732
Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
A State-of-the-Art Review of Deep Learning-Based Object Detection Methods and Techniques
Chhaya Gupta, Nasib Singh Gill, Preeti Gulia
Lecture notes in networks and systems
Published: Oct 2024
1 citation
1 citation
732 days after retraction
Integrating Multi‐Scale Feature Boundary Module and Feature Fusion With <scp>CNN</scp> for Accurate Skin Cancer Segmentation and Classification
S. Malaiarasan, R. Ravi
International Journal of Imaging Systems and Technology
Published: Sep 2024
689 days after retraction
An Efficient Artificial Rabbits Optimization Based on Mutation Strategy For Skin Cancer Prediction
Mohamed Abd Elaziz, Abdelghani Dahou, Alhassan Mabrouk et al. (5 authors)
Computers in Biology and Medicine
Published: Jun 2023
37 citations
37 citations
249 days after retraction
Classification of Skin Cancer with Deep Transfer Learning Method
Doaa Khalid Abdulridha Al-Saedi, Serkan Savaş
Computer Science
Open Access
Published: Sep 2022
10 citations
10 citations
27 days before retraction
Quick Stats
Total Citations:
8
Years Since Retraction:
3.1 years
Open Access:
Yes
Last Checked:
Jul 24, 2025