Langbeschreibung
Image Processing for Automated Diagnosis of Cardiac Diseases 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.
Inhaltsverzeichnis
1. Cardiac diseases and their diagnosis methods 2. Cardiac multimodal image registration using machine learning techniques 3. Anatomical photo representations for cardiac imaging training 4. Cardiac function review by machine learning approaches 5. Despeckling in echocardiographic images using a hybrid fuzzy filter 6. Impetus to machine learning in cardiac disease diagnosis 7. Wavelet transform for cardiac image retrieval 8. AI-based diagnosis techniques for cardiac disease analysis and predictions 9. An improved regularization and fitting-based segmentation method for echocardiographic images 10. Identification of heart failure from cine-MRI images using pattern-based features 11. Medical image fusion methods: Review and application in cardiac diagnosis