Medical Imaging in Clinical Applications : Algorithmic and Computer-Based Approaches
Medical Imaging in Clinical Applications : Algorithmic and Computer-Based Approaches
edited by Nilanjan Dey, Vikrant Bhateja, Aboul Ella Hassanien
- Cham Springer International Publishing 2016
- 1 recurso en línea (IX, 506 páginas) 169 ilustraciones, 118 ilustraciones en color
- Studies in Computational Intelligence 651 1860-949X .
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.
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. .
9783319337937
Radiología
Inteligencia artificial
RC78.7.D53 / M435 2016
006.3
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.
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. .
9783319337937
Radiología
Inteligencia artificial
RC78.7.D53 / M435 2016
006.3