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Medical imaging in clinical applications: algorithmic and computer-based approaches

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 s...

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Detalles Bibliográficos
Autores principales: Dey, Nilanjan, Bhateja, Vikrant, Hassanien, Aboul
Lenguaje:eng
Publicado: Springer 2016
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-33793-7
http://cds.cern.ch/record/2196615
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author Dey, Nilanjan
Bhateja, Vikrant
Hassanien, Aboul
author_facet Dey, Nilanjan
Bhateja, Vikrant
Hassanien, Aboul
author_sort Dey, Nilanjan
collection CERN
description 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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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2016
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spelling cern-21966152021-04-21T19:39:07Zdoi:10.1007/978-3-319-33793-7http://cds.cern.ch/record/2196615engDey, NilanjanBhateja, VikrantHassanien, AboulMedical imaging in clinical applications: algorithmic and computer-based approachesEngineeringThis 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. .Springeroai:cds.cern.ch:21966152016
spellingShingle Engineering
Dey, Nilanjan
Bhateja, Vikrant
Hassanien, Aboul
Medical imaging in clinical applications: algorithmic and computer-based approaches
title Medical imaging in clinical applications: algorithmic and computer-based approaches
title_full Medical imaging in clinical applications: algorithmic and computer-based approaches
title_fullStr Medical imaging in clinical applications: algorithmic and computer-based approaches
title_full_unstemmed Medical imaging in clinical applications: algorithmic and computer-based approaches
title_short Medical imaging in clinical applications: algorithmic and computer-based approaches
title_sort medical imaging in clinical applications: algorithmic and computer-based approaches
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-33793-7
http://cds.cern.ch/record/2196615
work_keys_str_mv AT deynilanjan medicalimaginginclinicalapplicationsalgorithmicandcomputerbasedapproaches
AT bhatejavikrant medicalimaginginclinicalapplicationsalgorithmicandcomputerbasedapproaches
AT hassanienaboul medicalimaginginclinicalapplicationsalgorithmicandcomputerbasedapproaches