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 (Unpublished)

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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 - Does NOT include content added after October 2018:	Centre for Health and Social Care Research Materials and Engineering Research Institute > Modelling Research Centre > Microsystems and Machine Vision Laboratory
Depositing User:	Chris Wright
Date Deposited:	03 Oct 2014 13:31
Last Modified:	18 Mar 2021 14:31
URI:	https://shura.shu.ac.uk/id/eprint/8425

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