Computational Imaging and Analytics in Biomedical Engineering
Apple Academic Press Inc. (Verlag)
978-1-77491-471-7 (ISBN)
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.
T. R. Ganesh Babu, PhD, is Professor of Electronics and Communication Engineering at Muthayammal Engineering College (Autonomous), Namakkal, India. He has over 25 years of teaching experience and has published many research papers in international and national journals and conferences as well as books and book chapters on topics such as communication engineering, linear integrated circuits, digital communication, digital image processing, control systems, and FAQs in analog and digital signals. He holds one patent and has filed nine more patents. He is a reviewer for several ournals from Springer, Elsevier, and Inderscience. Dr. Babu received a distinguish faculty award from Venus International Foundation, Chennai, India. U. Saravanakumar, PhD, is Professor and Head of Electronics and Communication Engineering at Muthayammal Engineering College (Autonomous), Namakkal, India. His research interests are in the field of VLSI design, silicon photonics, reconfigurable computing, system on chip, and embedded systems. He published more than 50 research articles in journals and conferences and two books from IGI and Springer. He holds several patents. Dr. Saravanakumar is an editor of Advances in Intelligent Systems and an editorial board member and reviewer for several other journals. Balachandra Pattanaik, PhD, is Professor of Electrical and Computer Engineering at Wollega University, Ethiopia, Africa. He holds over 20 innovation patents issued by the Indian government and several international patent grants in Australia and Germany. He has published engineering books and book chapters as well as many papers in national and international publications. He is an advisor to the IEEE Power and Energy Student Chapter at Bule Hora University in Ethiopia, a senior member of IEEE, and a recipient of a Chartered Engineer Award from the Institution of Engineers of India. He has held many administrative positions, such as Head of Department of Electrical Engineering, Principal, and Anna University Chief Superintendent for university examinations, NSS coordinator, research coordinator, accreditation management representative, editorial board member, and chair/vice chair for conference sessions.
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
| Erscheinungsdatum | 10.07.2024 |
|---|---|
| Reihe/Serie | AAP Series on Digital Signal Processing, Computer Vision and Image Processing |
| Zusatzinfo | 27 Tables, black and white; 99 Line drawings, black and white; 9 Halftones, color; 49 Halftones, black and white; 9 Illustrations, color; 148 Illustrations, black and white |
| Verlagsort | Oakville |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 720 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Medizin / Pharmazie ► Medizinische Fachgebiete ► Radiologie / Bildgebende Verfahren | |
| Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie | |
| Technik ► Medizintechnik | |
| Technik ► Umwelttechnik / Biotechnologie | |
| ISBN-10 | 1-77491-471-9 / 1774914719 |
| ISBN-13 | 978-1-77491-471-7 / 9781774914717 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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