Image Processing for Automated Diagnosis of Cardiac Diseases

Image processing for the automated diagnosis of diseases is a focus of substantial research. This book highlights current and emerging technologies for the automated diagnosis of cardiac diseases. It presents concepts and practical algorithms, including techniques for the automated diagnosis of organs in motion using image processing.?  This book is suitable for biomedical engineering researchers, engineers and scientists in research and development,?and clinicians?who want to learn more about and develop advanced concepts in image processing to overcome the challenges of automated diagnosis of heart disease.?  Includes advanced techniques to improve diagnostic methods for various cardiac diseases Uses methods to improve existing diagnostic features of echocardiographic machines? Develops new diagnostic features for echocardiographic machines  INDICE: 1. Cardiac diseases and their diagnosis methods 2. ECG indicators of cardiac mortality 3. Cardiac multi-model image registration using machine learning techniques 4. Anatomical photo representations for cardiac imaging training 5. Cardiac function review by machine learning approaches 6. Despeckling in echocardiographic images using a hybrid fuzzy filter 7. Impetus of machine learning in cardiac disease diagnosis 8. Wavelet transform for cardiac image retrieval 9. Artificial Intelligence based diagnosis techniques for cardiac disease analysis and predictions 10. An improved regularization and fitting based segmentation method for echocardiographic images 11. Identification of heart failure from cine-MRI images using pattern-based features 12. Medical image fusion methods: review and application in cardio-diagnosis

• ISBN: 978-0-323-85064-3
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 225
• Fecha Publicación: 01/07/2021
• Nº Volúmenes: 1
• Idioma: Inglés