DCE MRI : hierarchical clustering-based segmentation as an aid to diagnosis.

SELVAN, Arul and WRIGHT, Chris (2014). DCE MRI : hierarchical clustering-based segmentation as an aid to diagnosis. In: BCISMRM, Edinburgh, 4-5th September 2014. (Unpublished)

[img]
Preview
PDF (Poster)
ISMRM_Arul_Poster_Ver-2.pdf

Download (968kB) | Preview

Abstract

Early results suggest that the HCS process based Computer Aided Monitoring (CAM) system offers increased capability to differentiate suspicious areas by combining users' expertise and computer system's processing capability. The application, using border pixel reclassification to highlight key areas, is particularly useful at the point of first diagnosis because lesions are commonly not solitary in nature, which can result in an incomplete treatment regime and affect prognosis; and also in monitoring the effects of drugs or radiotherapy.

Item Type: Conference or Workshop Item (Poster)
Research Institute, Centre or Group: Centre for Health and Social Care Research
Materials and Engineering Research Institute > Centre for Automation and Robotics Research > Mobile Machine and Vision Laboratory
Depositing User: Chris Wright
Date Deposited: 03 Oct 2014 13:31
Last Modified: 20 Aug 2015 14:40
URI: http://shura.shu.ac.uk/id/eprint/8425

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics