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Development of a semi-automated segmentation framework for thoracic-abdominal organs

Ashrani, AA, Lewis, E and Wells, K (2013) Development of a semi-automated segmentation framework for thoracic-abdominal organs

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Abstract

Due to the increasing amount of data available from medical imaging procedures and also the increase in computing power, there has been a rise in the automation of the analysis of such data. A crucial step in the automation of such procedures is accurate segmentation of anatomy. Popular approaches include model based segmentation. However, these approaches require an atlas which may not be generic enough. This paper proposes a semi-automated data-driven segmentation framework of thoracic CT scans. The preliminary results of the framework is presented and discussed with proposals for future work. © 2013 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Ashrani, AAUNSPECIFIEDUNSPECIFIED
Lewis, Ee.lewis@surrey.ac.ukUNSPECIFIED
Wells, Kk.wells@surrey.ac.ukUNSPECIFIED
Date : 1 January 2013
Identification Number : https://doi.org/10.1109/ICSIPA.2013.6708009
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:13
Last Modified : 17 May 2017 15:09
URI: http://epubs.surrey.ac.uk/id/eprint/838396

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