Computational Intelligence and Neuroscience

Swarm Intelligence and Neural Network Schemes for Biomedical Data Evaluation


Publishing date
01 Dec 2021
Status
Closed
Submission deadline
16 Jul 2021

Lead Editor

1Tafresh University, Tafresh, Iran

2St. Joseph’s College of Engineering, Chennai, India

3National University of Science and Technology, Seeb, Oman

This issue is now closed for submissions.
More articles will be published in the near future.

Swarm Intelligence and Neural Network Schemes for Biomedical Data Evaluation

This issue is now closed for submissions.
More articles will be published in the near future.

Description

The occurrence rate of diseases in humans is gradually increasing. Early detection and treatment implementation is essential to cure a patient. Most of the acute and infectious diseases can be examined using a chosen signal method or an image-supported method. Accurate identification of the disease and its severity rate is essential during the planning and treatment implementation process. In the current era, considerable research is implemented to develop an automated disease detection (ADD) system. This enables support for doctors during the disease severity, identification stage, and treatment planning process.

Recent literature confirms that the ADD systems developed by employing swarm intelligence techniques and neural network (NN) schemes present improved results in various disease cases. Earlier work also suggests that the hybridization of the swarm intelligence approach with NN scheme improves disease deception accuracy. Lately, NN schemes such as shallow neural network (SNN), deep neural network (DNN), and convolution neural network (CNN) are widely employed to examine a class of biomedical datasets. These NN schemes work well on certain biomedical images and biomedical signals.

The aim of this Special Issue is to bring together original research and review articles highlighting pioneering research work on various biomedical data examinations using innovative or traditional ADD schemes. We welcome studies on schemes developed using swarm intelligence approaches, NN schemes, and hybrid techniques. Furthermore, submissions can include CNN architectures to segment and/or classify the biomedical signals/images.

Potential topics include but are not limited to the following:

  • Swarm intelligence supported biomedical image thresholding and segmentation
  • Swarm intelligence supported feature selection/reduction
  • Swarm intelligence to optimize the neural network architectures
  • Shallow or deep neural network scheme for biomedical signal classification
  • Convolution neural network scheme for biomedical signal evaluation
  • Convolution neural network scheme for biomedical image segmentation

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 6904217
  • - Research Article

Macular Hole Detection Using a New Hybrid Method: Using Multilevel Thresholding and Derivation on Optical Coherence Tomographic Images

Sahand Shahalinejad | Reza Seifi Majdar
  • Special Issue
  • - Volume 2021
  • - Article ID 7265644
  • - Review Article

The Progress of Medical Image Semantic Segmentation Methods for Application in COVID-19 Detection

Amin Valizadeh | Morteza Shariatee
  • Special Issue
  • - Volume 2021
  • - Article ID 9528664
  • - Research Article

Skin Cancer Detection Based on Extreme Learning Machine and a Developed Version of Thermal Exchange Optimization

Shi Wang | Melika Hamian
  • Special Issue
  • - Volume 2021
  • - Article ID 6509982
  • - Research Article

Improving the Security and Confidentiality in the Internet of Medical Things Based on Edge Computing Using Clustering

Anita Hatamian | Mohammad Bagher Tavakoli | Masoud Moradkhani
  • Special Issue
  • - Volume 2021
  • - Article ID 1360414
  • - Research Article

Improved ECG-Derived Respiration Using Empirical Wavelet Transform and Kernel Principal Component Analysis

Shuxin Zhuang | Fenlan Li | ... | Vijayarajan Rajangam
  • Special Issue
  • - Volume 2021
  • - Article ID 4196241
  • - Review Article

Osteolysis: A Literature Review of Basic Science and Potential Computer-Based Image Processing Detection Methods

Soroush Baseri Saadi | Ramin Ranjbarzadeh | ... | Malika Bendechache
  • Special Issue
  • - Volume 2021
  • - Article ID 2214971
  • - Research Article

Evaluation of Ergonomics-Related Disorders in Online Education Using Fuzzy AHP

Hemant Upadhyay | Sapna Juneja | ... | Sandeep Kautish
  • Special Issue
  • - Volume 2021
  • - Article ID 8338903
  • - Research Article

Providing an Adaptive Routing along with a Hybrid Selection Strategy to Increase Efficiency in NoC-Based Neuromorphic Systems

Mohammad Trik | Saadat Pour Mozaffari | Amir Massoud Bidgoli
  • Special Issue
  • - Volume 2021
  • - Article ID 3583275
  • - Research Article

Leveled Design of Cryptography Algorithms Using Cybernetic Methods for Using in Telemedicine Applications

Ali Mohammad Norouzzadeh Gil Molk | Mohammad Reza Aref | Reza Ramazani Khorshiddoust
  • Special Issue
  • - Volume 2021
  • - Article ID 7552185
  • - Research Article

Dual-Path Attention Compensation U-Net for Stroke Lesion Segmentation

Haisheng Hui | Xueying Zhang | ... | Fenlian Li
Computational Intelligence and Neuroscience
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