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2016 | OriginalPaper | Chapter

Abdominal Imaging in Clinical Applications: Computer Aided Diagnosis Approaches

Authors : Amira S. Ashour, Nilanjan Dey, Waleed S. Mohamed

Published in: Medical Imaging in Clinical Applications

Publisher: Springer International Publishing

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Abstract

Computer aided diagnosis (CAD) is considered one of the main research subjects in medical image processing and diagnostic radiology. The development of CAD systems would provide anatomical knowledge coupled with image processing procedures to improve diagnosis/healthcare. For accurate diagnosis and treatment, researchers are interested with clinical image analysis. Since, the abdominal organs are characterized by complexity and high inconsistency. Thus, the identification of distinct algorithms to model the organs and abnormalities it is vital for understanding anatomy and disease. Moreover, a survey on CAD based abdominal image enhancement, segmentation, classification and fusion is included. Finally, challenging topics are addressed to explore new fields for development.

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next chapter An Overview of Pectoral Muscle Extraction Algorithms Applied to Digital Mammograms
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Metadata
Title
Abdominal Imaging in Clinical Applications: Computer Aided Diagnosis Approaches
Authors
Amira S. Ashour
Nilanjan Dey
Waleed S. Mohamed
Copyright Year
2016
Book
Medical Imaging in Clinical Applications

Print ISBN: 978-3-319-33791-3

Electronic ISBN: 978-3-319-33793-7

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-33793-7_1

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