Buch, Englisch, 188 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 410 g
Recording, Reconstruction and Assessment
Buch, Englisch, 188 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 410 g
ISBN: 978-0-12-823401-3
Verlag: William Andrew Publishing
This volume will be of interest to researchers, engineers and medical professionals involved in the development and use of MRI systems.
Zielgruppe
<p>This book series is useful to professional researchers in medical image processing, biomedical engineering, and physicians. This book series will attract numerous researchers working in the healthcare systems. The book is primarily intended for researchers from academia and industry, who are working in the research areas of: Biomedical engineering computer- aided detection and diagnosis, medical devices requirements, tele-medicine, and systems monitoring, Wearable Sensors Devices, Monitoring Systems Design, Healthcare Real Applications.Electrical and Electronics Engineering: sensors design, body area networking, monitoring systems design, commercial wearable devices, and design of medical imaging modalities.Communications Engineering: wireless communication systems, monitoring systems, and secure communication facilities. Computer Engineering: algorithms and simulation issues related to medical imaging system and CAD systems.</p>
Autoren/Hrsg.
Fachgebiete
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Bildgebende Verfahren, Nuklearmedizin, Strahlentherapie Magnetresonanztomographie, Computertomographie (MRT, CT)
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
Weitere Infos & Material
1. Introduction to Image Assisted Disease Screening 2. Magnetic Resonance Imaging - Recording and Reconstruction 3. Image Processing Schemes to Enhance Disease Information in MRI Slices 4. Segmentation of Tumor in Breast MRI Using Entropy Thresholding and Mayfly-Algorithm: A Study 5. Abnormality Detection in Heart MRI with Spotted-Hyena-Algorithm Supported Kapur/Otsu Thresholding and Level-Set Segmentation 6. CNN based Segmentation of Brain Tumor from T2-Weighted MRI Slices 7. Automated Detection of Ischemic-Stroke with Brain MRI using Machine-Learning and Deep-Learning Features