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Arul N. Selvan
Arul N.
Selvan
Yan Chen
Yan
Chen
Hossein Nevisi
Hossein
Nevisi
Leng Dong
Leng
Dong
Chris Wright
Chris
Wright
Alastair Gale
Alastair
Gale
A perceptual aid to delineating the extent of potential mammographic abnormalities
Loughborough University
2016
Radiology
Mammography
Information and Computing Sciences not elsewhere classified
2016-06-06 09:20:44
Poster
https://repository.lboro.ac.uk/articles/poster/A_perceptual_aid_to_delineating_the_extent_of_potential_mammographic_abnormalities/9404969
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.