Medical Imaging in Clinical Applications

This volume comprises of 21 selected chapters, including two overview chapters devoted to abdominal imaging in clinical applications supported computer aided diagnosis approaches as well as different techniques for solving the pectoral muscle extraction problem in the preprocessing part of the CAD systems for detecting breast cancer in its early stage using digital mammograms. The aim of this book is to stimulate further research in medical imaging applications based algorithmic and computer based approaches and utilize them in real-world clinical applications. The book is divided into four parts, Part-I: Clinical Applications of Medical Imaging, Part-II: Classification and clustering, Part-III: Computer Aided Diagnosis (CAD) Tools and Case Studies and Part-IV: Bio-inspiring based Computer Aided diagnosis techniques.

Presents the latest developments in the domain of bio-medical sensing, imaging, instrumentation, and its associated clinical applications Focuses on key issues in terms of concepts, research, standards, implementations, running experiments and applications for diagnosis and treatment Present various advancements in terms of novel computational methods, algorithms, measurements and instrumentation techniques Includes supplementary material: sn.pub/extras

Autorentext
Dr. Aboul-Ella Hassanien is a Professor in the Faculty of Computers and Information at Cairo University, Egypt, and Visiting Professor at the College of Business Administration, Kuwait University.
Dr. Aboul-Ella Hassanien is a Professor in the Faculty of Computers and Information at Cairo University, Egypt, and Visiting Professor at the College of Business Administration, Kuwait University.

Inhalt
Part I Clinical Applications of Medical Imaging.- Part II Classification and Clustering- Part III Computer Aided Diagnosis (CAD) Tools and Case Studies.- Part-V Bio-inspiring Based Computer Aided Diagnosis Techniques.