Open AccessGenerating Realistic Mass Lesions in Digital Mammograms UsingStatistical Models
Author(s) -
Steven Caulkin,
Susan Astley
Publication year - 1999
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5244/c.13.29
Subject(s) - computer science , artificial intelligence , lesion , computer vision , mass/lesion , pattern recognition (psychology) , medicine , pathology
We describe a model-based method of generating realistic mass lesions and placing them in appropriate locations on normal mammogram backgrounds. These lesions are highly irregular in shape and have no consistent internal landmarks. Thin plate splines are used both in modelling the background to each lesion, and to warp examples when training an appearance model.
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