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Review on Recent Methods for Segmentation of Liver Using Computed Tomography and Magnetic Resonance Imaging Modalities

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Emerging Research in Electronics, Computer Science and Technology

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 545))

Abstract

The span of modern medical imaging provides new and efficient techniques for segmentation of liver that are used by the clinicians to view in order to diagnose, monitor and treat liver diseases. Liver cancer is one of the most prominent diseases which cause death. Extraction of liver in different modalities is a difficult task because of its varying shape, similarity between organ intensities and variability in liver region intensities. In this review paper, a study has been carried out on liver segmentation in CT and MRI images with different methodologies and datasets. The observation has been made to highlight the merits, demerits and performance metrics of different works published.

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Author information

Authors and Affiliations

  1. ISE Department, PES College of Engineering, Mandya, Karnataka, India

    T. M. Geethanjali &  Minavathi

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  1. T. M. Geethanjali
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  2. Minavathi
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Corresponding author

Correspondence to T. M. Geethanjali .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, PES College of Engineering, Mandya, Karnataka, India

    V. Sridhar

  2. Department of Computer Science and Engineering, PES College of Engineering, Mandya, Karnataka, India

    M.C. Padma

  3. Department of Electronics and Communication Engineering, PES College of Engineering, Mandya, Karnataka, India

    K.A. Radhakrishna Rao

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Geethanjali, T.M., Minavathi (2019). Review on Recent Methods for Segmentation of Liver Using Computed Tomography and Magnetic Resonance Imaging Modalities. In: Sridhar, V., Padma, M., Rao, K. (eds) Emerging Research in Electronics, Computer Science and Technology. Lecture Notes in Electrical Engineering, vol 545. Springer, Singapore. https://doi.org/10.1007/978-981-13-5802-9_56

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  • DOI: https://doi.org/10.1007/978-981-13-5802-9_56

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-5801-2

  • Online ISBN: 978-981-13-5802-9

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