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Medical Imaging in Clinical Applications [electronic resource] : Algorithmic and Computer-Based Approaches / edited by Nilanjan Dey, Vikrant Bhateja, Aboul Ella Hassanien.

Contributor(s): Dey, Nilanjan [editor.] | Bhateja, Vikrant [editor.] | Hassanien, Aboul Ella [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Computational Intelligence: 651Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016.Description: IX, 506 p. 169 illus., 118 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319337937.Subject(s): Computational intelligence | Artificial intelligence | Radiology | Signal processing | Biomedical engineering | Computational Intelligence | Artificial Intelligence | Radiology | Signal, Speech and Image Processing | Biomedical Engineering and BioengineeringAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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. .
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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. .

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