Contributions to this book will include but are not be limited to the following areas:
Machine Learning on medical datasets
Deep Learning on medical datasets
Anomaly Detection on medical datasets
Medical Image analytics
Smart healthcare and intelligent medical system
Optimization of machine learning and deep learning algorithms for medical image analysis
Validation, analysis, and learning of data representation for medical imaging diagnosis.
Theoretical or methodological developments in machine learning for personalized medicine.
Acute treatments or diagnoses for specific clinical domains.
The applications of machine learning in radiotherapy, chemotherapy, endoscopic images, laryngoscopic images, MRI, CT imaging, etc.