Computational Imaging and Analytics in Biomedical Engineering

Algorithms and Applications

T. R. Ganesh Babu, U. Saravanakumar, Balachandra Pattanaik, T. R. Ganesh Babu, U. Saravanakumar, Balachandra Pattanaik

• Publisher: Apple Academic Press
• Year: 2024
• ISBN:
  9781003830221
• Edition: 1
• Topic: Ciencia de la computación
• Subtopic: Inteligencia artificial (IA) y semántica

This new book focuses on mathematical and numerical methods for medical images and data. The book presents the various mathematical modeling techniques, numerical analysis, computing and computational techniques, and applications of machine learning for medical images and medical informatics. It also focuses on programming concepts using MATLAB and Phython for medical image and signal analytics. The volume demonstrates the use of computational techniques and tools such as machine learning, deep neural networks, artificial intelligence and human-computer interaction, fusion methods for CT and pet images, etc., for diagnosis of brain disorders, cervical cancer, lung disease, melanoma, atrial fibrillation and other circulatory issues, dental images, diabetes, and other medical issues.

Table of contents

• Cover Page
• Half Title Page
• Title Page
• Copyright Page
• Series page
• About the Editors
• Contents
• Contributors
• Abbreviations
• Preface
• 1. Statistical Analysis of Seizure Data to Support Clinical Proceedings
• 2. Spatial Preprocessing in Segmentation of Brain MRI Using T1 and T2 Images
• 3. Comparative Volume Analysis of Pediatric Brain with Adult Brain Using T1 Mri Images
• 4. Comparison of Region of Interest and Cortical Area Thickness of Seizure and Hemosiderin-Affected Brain Images
• 5. Design and Analysis of Classifier for Atrial Fibrillation and Deep Neural Networks with Ecg
• 6. Design and Analysis of Efficient Short Time Fourier Transform Based Feature Extraction for Removing Eog Artifacts Using Deep Learning Regression
• 7. Machine Learning for Medical Images
• 8. Innovations in Artificial Intelligence and Human Computer Interaction in the Digital Era
• 9. Computer-Aided Automatic Detection and Diagnosis of Cervical Cancer by Using Feature Markers
• 10. A Study on Sentiment Analysis
• 11. Applications of Magnetic Resonance Imaging Techniques and Its Advancements
• 12. A Hybrid Clustering Approach for Medical Image Segmentation
• 13. Approaches for Analyzing Dental Images with Medical Image Processing with Its Statistics
• 14. An Investigation on Diabetes Using Multilayer Perceptron
• 15. Dermoscopic Implementation and Classification on Melanoma Disease Using Gradient Boost Classifier
• 16. Image Processing and Deep Learning Techniques for Lung Disease Segmentation Using Knn Classifier
• 17. Design Detecting and Classifying Melanoma Skin Cancer Using Cnn with K Means Clustering
• 18. Detection of Lung Cancer Using Fusion Methods for CT and Pet Images
• 19. A Framework Promoting Position Trust Evaluation System in Cloud Environment
• 20. Efficient Machine Learning Techniques for Medical Images
• Index