Abstract
Imaging modalities are noninvasive, fast, and accurate in the diagnosis of different anatomical disorders. As such, there is a pertinent requirement for segmentation of the organs to give proper visual information on the morphological and pathological changes. The aim of the proposed work is to implement the automatic liver segmentation from the CT images, using active contour segmentation technique. The localization and detection of liver tumor will be easier for radiologist with the extraction of the liver from other adjoining organs. In this paper, we are discussing the different techniques employed for liver segmentation and our present ongoing study is based on 2D and 3D liver segmentation with its future implementation.
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Acknowledgements
The authors of this research paper are thankful to the Department of Radiology and Imaging, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences (NEIGRIHMS), Shillong, for providing 3D medical data sets and for hel** in validation of the output CT images for this study. We thank the SERB, Department of Science and Technology (DST), GOI, New Delhi, for the financial assistance (Grant: SERB/EMEQ-433/2014) during the study.
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Mourya, G.K., Bhatia, D., Handique, A., Warjri, S., War, A., Amir, S.A. (2018). 2D/3D Liver Segmentation from CT Datasets. In: Bera, R., Sarkar, S., Chakraborty, S. (eds) Advances in Communication, Devices and Networking. Lecture Notes in Electrical Engineering, vol 462. Springer, Singapore. https://doi.org/10.1007/978-981-10-7901-6_68
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