Special Issue
"New Trends in the Deep Learning-based Solutions for Biomedical Applications"
Special Issue Guest Editors:

Lead guest editor: Prof. Dr. Kemal Polat, Bolu Abant Izzet Baysal University, Faculty of Engineering, Department of Electrical and Electronics Engineering, Bolu, Turkey.
Guest Editor: Prof. Dr. Witold Pedrycz, University of Alberta, Department of Electrical and Computer Engineering, 9107 - 116 Street, Edmonton, T6G 2V4, Alberta, Canada
Guest Editor: Dr. Şaban Öztürk, Amasya University, Amasya, Turkey.
Guest Editor: Prof. Dr. Victor Hugo C. de Albuquerque, University of Fortaleza, Graduate Program in Applied (PPGIA); Laboratory of Bioinformatics (LABIO), Fortaleza - CE, Brazil
The development of technology and the contribution of technological solutions to almost every aspect of human life ensure an increase in societies' living standards and expectations. While the developments in the field of industry increase the societies' consumption quality, the life expectancy of the societies also increases. For this reason, it did not take long for high technology, such as artificial intelligence, to enter the medical field. Today, many institutions in the field of health actively benefit from the possibilities of artificial intelligence. Deep learning is the most striking version of artificial intelligence today. This artificial intelligence architecture, which is actively used in the literature for the solution of almost all problems, is very effective in the medical field. This special issue awaits papers that include deep learning-based solutions to problems in the medical domain.

Topics include the following:

Deep learning for medical image classification
Deep learning for medical image segmentation
Deep learning for medical image analysis
Deep learning for cell tracking
Deep learning for medical signal processing
Deep learning for medical image or signal pre-processing
Deep learning for medical data retrieval
Big medical data
etc.

The special issue also welcomes high-quality survey and tutorial papers on these and related topics.

All papers will go through a rigorous peer-review process and automated plagiarism checks. Papers must be formatted according to the specifications and limits of the Turkish Journal of Electrical Engineering and Computer Sciences. The journal is Science Citation Index - Expanded (SCI-E) and (non-paid) open access.



IMPORTANT DATES

Submission deadline: April 15, 2021

Rejection/Revision notification to authors: May 15, 2021

Revision submissions due: June 15, 2021

Acceptance notification to authors: July 15, 2021

Publication of accepted papers: This SI will be published in 2021.