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A Decision-Support System for (Renal) Cancer Imaging

Abstract

Medical practitioners who treat cancer patients have crucial decisions to make about the best course of action for individual patients, but limited time in which to make those decisions, and limited information to help them do so. Our aim is to develop a decision-support system which will aid them in this task. This system will be initially targeted at renal (kidney) cancer, but is intended to be extensible to other cancers in the future.

Segmentation

Abdominal Segmentation

The current focus of the project is on the segmentation of abdominal CT scans. This involves identifying features of interest in the images, e.g. the kidneys, liver, etc., as a precursor to later modelling (see figure).

Selected Publications

View all

Automatic Spine Identification in Abdominal CT Slices using Image Partition Forests

Stuart Golodetz‚ Irina Voiculescu and Stephen Cameron

In Proceedings of ISPA 2009. September, 2009.

Progress on a Decision−Support System for Abdominal CT Scans (Work−in−Progress Paper)

Stuart Golodetz‚ Irina Voiculescu and Stephen Cameron

In Lucia Lo Bello and Giancarlo Iannizzotto, editors, Proceedings of HSI 2009. Pages 116−119. May, 2009.

Best Paper Award (Telemedicine and e−Health)

Region Analysis of Abdominal CT Scans using Image Partition Forests

Stuart Golodetz‚ Irina Voiculescu and Stephen Cameron

In Proceedings of CSTST 2008. Pages 432−7. October, 2008.

Best Workshop Paper Award

Info

Duration

15th November 2007 to 14th July 2011

People

Personal photo - Stuart Golodetz
Stuart Golodetz

Themes