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
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
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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.
Details about Automatic Spine Identification in Abdominal CT Slices using Image Partition Forests | BibTeX data for Automatic Spine Identification in Abdominal CT Slices using Image Partition Forests | Download (pdf) of Automatic Spine Identification in Abdominal CT Slices using Image Partition Forests
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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
Details about Progress on a Decision−Support System for Abdominal CT Scans (Work−in−Progress Paper) | BibTeX data for Progress on a Decision−Support System for Abdominal CT Scans (Work−in−Progress Paper) | LCCN (2009900916) | Download (pdf) of Progress on a Decision−Support System for Abdominal CT Scans (Work−in−Progress Paper)
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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
Details about Region Analysis of Abdominal CT Scans using Image Partition Forests | BibTeX data for Region Analysis of Abdominal CT Scans using Image Partition Forests | Download (pdf) of Region Analysis of Abdominal CT Scans using Image Partition Forests
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