Full Description
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.
Contents
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 Features Markers 10. A Study on Sentiment Analysis 11. Applications of Magnetic Resonance Imaging Techniques and Their Advancements 12. A Hybrid-Clustering Approach for Medical Image Segmentation 13. Approaches for Analyzing Dental Images with Medical Image Processing with Statistics 14. An Investigation on Diabetes Using Multi-Layer 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 the 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
