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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Ashour, A.S., Dey, N., Mohamed, W.S. (2016). Abdominal Imaging in Clinical Applications: Computer Aided Diagnosis Approaches. In: Dey, N., Bhateja, V., Hassanien, A. (eds) Medical Imaging in Clinical Applications. Studies in Computational Intelligence, vol 651. Springer, Cham. https://doi.org/10.1007/978-3-319-33793-7_1
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