Description
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.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 the existing diagnostic features of echocardiographic machines- Develops new diagnostic features for echocardiographic machines
Table of Contents
1. Cardiac diseases and their diagnosis methods2. Cardiac multimodal image registration using machine learning techniques3. Anatomical photo representations for cardiac imaging training4. Cardiac function review by machine learning approaches5. Despeckling in echocardiographic images using a hybrid fuzzy filter6. Impetus to machine learning in cardiac disease diagnosis7. Wavelet transform for cardiac image retrieval8. AI-based diagnosis techniques for cardiac disease analysis and predictions9. An improved regularization and fitting-based segmentation method for echocardiographic images10. Identification of heart failure from cine-MRI images using pattern-based features11. Medical image fusion methods: Review and application in cardiac diagnosis
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- 電子書籍
- ロマンスの神様 ローンスター・ソシアル…
