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Erschienen in:
Modelling of Thermoelectric and Conduction Mechanism of Multi-nanoribbon Matrix Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

2D/3D Liver Segmentation from CT Datasets

verfasst von : G. K. Mourya, D. Bhatia, A. Handique, S. Warjri, A. War, S. A. Amir

Erschienen in: Advances in Communication, Devices and Networking

Verlag: Springer Singapore

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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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Metadaten
Titel
2D/3D Liver Segmentation from CT Datasets
verfasst von
G. K. Mourya
D. Bhatia
A. Handique
S. Warjri
A. War
S. A. Amir
Copyright-Jahr
2018
Verlag
Springer Singapore
Buch
Advances in Communication, Devices and Networking

Print ISBN: 978-981-10-7900-9

Electronic ISBN: 978-981-10-7901-6

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-981-10-7901-6_68

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