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|Title: ||A perceptual aid to delineating the extent of potential mammographic abnormalities|
|Authors: ||Selvan, Arul N.|
Gale, Alastair G.
|Issue Date: ||2015|
|Publisher: ||BioMed Central (© the authors)|
|Citation: ||SELVAN, A. ... et al., 2015. A perceptual aid to delineating the extent of potential mammographic abnormalities [poster]. IN: Proceedings of 2015 British Society of Breast Radiology Annual Scientific Meeting, Nottingham, Great Britain, 9-11 November 2015, poster no. 19.|
|Abstract: ||Being able to accurately determine the extent of a possible malignancy on a mammogram is an important task as this can affect the potential follow up surgical treatment that a woman receives after breast screening. It is known that this can be a difficult task, particularly where the lesion has diffuse abnormalities.
A potential computer-aided approach is to employ Hierarchical Clustering-based Segmentation (HCS) and this interactive educational exhibit dynamically demonstrates this technique. HCS is an unsupervised segmentation process that when applied to an image yields a hierarchy of segmentations based on image pixel dissimilarities and so can be used to highlight areas in the mammographic image to aid interpretation.|
|Description: ||An abstract of this presentation was published as: SELVAN, A. ... et al., 2015. A perceptual aid to delineating the extent of potential mammographic abnormalities. Breast Cancer Research, 17 (Suppl. 1), p.7, DOI: 10.1186/bcr3781.|
|Version: ||Accepted for publication|
|Publisher Link: ||http://dx.doi.org/10.1186/bcr3781|
|Appears in Collections:||Conference Papers and Presentations (Computer Science)|
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