Computational and Mathematical Methods in Medicine

Automated and Semi-Automated Computational Intelligence Techniques for Medical Data Assessment


Publishing date
01 Nov 2021
Status
Closed
Submission deadline
02 Jul 2021

1St. Joseph's College of Engineering, Chennai, India

2Tafresh University, Tafresh, Iran

3Manakula Vinayagar Institute of Technology, Puducherry, India

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

Automated and Semi-Automated Computational Intelligence Techniques for Medical Data Assessment

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

Description

Recent advances in engineering and computational intelligence domains have helped to provide possible solutions for a number of real world problems. For example, the implementation of automated and semi-automated computational intelligence techniques for the assessment of medical data has helped to reduce disease burden compared to existing traditional techniques.

Disease in humans is growing rapidly, due to various unavoidable and uncontrollable reasons, and these unidentified and untreated disorders can lead to serious problems, including death. It is therefore of utmost importance to investigate how recent progress in clinical, scientific, and engineering domains can be applied to improve the identification and treatment of these disorders with the help of appropriate medical data. Common medical data, such as patient information and disease history, medical images recorded using a chosen modality, and bio-signals collected using a chosen electrode can be evaluated using semi-automated and automated techniques in order to diagnose the disorder with better accuracy. Bio-signal and bio-image assisted detection techniques are commonly followed in hospitals to detect disorders and the outcome attained from these diagnoses will help the doctors to plan for an appropriate treatment procedure to control and cure the disorder.

This Special Issue aims to collect innovative research and review articles on recent developments in the use of automated and semi-automated computational intelligence techniques in the assessment of medical data, including pre-screening/post-screening of patients with traditional evaluation methods, bio-signal based examination, and medical image-assisted evaluation, among others. The focus should be on clinical level assessment, machine-learning assisted examination, and deep-learning systems.

Potential topics include but are not limited to the following:

  • Brain condition monitoring using EEG
  • Brain condition monitoring using imaging techniques (fMRI, MRI, CT, and PET)
  • Stroke detection
  • Tumor detection
  • Application of deep-learning and machine-learning systems in examining brain MRI

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 7965677
  • - Research Article

A Novel Method for Differential Prognosis of Brain Degenerative Diseases Using Radiomics-Based Textural Analysis and Ensemble Learning Classifiers

Manju Jain | C. S. Rai | Jai Jain
  • Special Issue
  • - Volume 2021
  • - Article ID 5524637
  • - Research Article

Extraction and Evaluation of Corpus Callosum from 2D Brain MRI Slice: A Study with Cuckoo Search Algorithm

K. Suresh Manic | Roshima Biju | ... | S. Uma
  • Special Issue
  • - Volume 2021
  • - Article ID 2577375
  • - Review Article

Hybrid Inception v3 XGBoost Model for Acute Lymphoblastic Leukemia Classification

S. Ramaneswaran | Kathiravan Srinivasan | ... | Chuan-Yu Chang
  • Special Issue
  • - Volume 2021
  • - Article ID 6321860
  • - Research Article

Optimization of Correlation Filters Using Extended Particle Swarm Optimization Technique

Haris Masood | Amad Zafar | ... | Seifedine Kadry
  • Special Issue
  • - Volume 2021
  • - Article ID 5527698
  • - Research Article

An Optimized Method for Skin Cancer Diagnosis Using Modified Thermal Exchange Optimization Algorithm

Liu Wei | Su Xiao Pan | ... | V. Rajinikanth
  • Special Issue
  • - Volume 2021
  • - Article ID 9928899
  • - Research Article

An Effective Method for Detecting and Classifying Diabetic Retinopathy Lesions Based on Deep Learning

Abdüssamed Erciyas | Necaattin Barışçı
  • Special Issue
  • - Volume 2021
  • - Article ID 3772129
  • - Research Article

Automatic Segmentation of Left Ventricle in Echocardiography Based on YOLOv3 Model to Achieve Constraint and Positioning

Zhemin Zhuang | Pengcheng Jin | ... | Shuxin Zhuang
  • Special Issue
  • - Volume 2021
  • - Article ID 5514839
  • - Research Article

Diagnosis of Alzheimer’s Disease Severity with fMRI Images Using Robust Multitask Feature Extraction Method and Convolutional Neural Network (CNN)

Morteza Amini | Mir Mohsen Pedram | ... | Mahshad Ouchani
  • Special Issue
  • - Volume 2021
  • - Article ID 5511922
  • - Research Article

Diagnosis of Alzheimer’s Disease by Time-Dependent Power Spectrum Descriptors and Convolutional Neural Network Using EEG Signal

Morteza Amini | Mir Mohsen Pedram | ... | Mahshad Ouchani
  • Special Issue
  • - Volume 2021
  • - Article ID 5597559
  • - Research Article

A New Measure of Pulse Rate Variability and Detection of Atrial Fibrillation Based on Improved Time Synchronous Averaging

Xiaodong Ding | Yiqin Wang | ... | Haixia Yan
Computational and Mathematical Methods in Medicine
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Acceptance to publication39 days
CiteScore3.500
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Impact Factor2.238
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