bsbr 2015-poster with Sheffield.pdf (641.06 kB)
A perceptual aid to delineating the extent of potential mammographic abnormalities
poster
posted on 2016-06-06, 09:20 authored by Arul N. Selvan, Yan Chen, Hossein Nevisi, Leng Dong, Chris Wright, Alastair GaleBeing 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.
History
School
- Science
Department
- Computer Science
Published in
Breast Cancer ResearchVolume
17Issue
Suppl 1Pages
p19 - p19Citation
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.Publisher
BioMed Central (© the authors)Version
- AM (Accepted Manuscript)