作者
Zhili Chen, Harry Strange, Arnau Oliver, Erika RE Denton, Caroline Boggis, Reyer Zwiggelaar
发表日期
2014/12/22
期刊
IEEE transactions on biomedical engineering
卷号
62
期号
4
页码范围
1203-1214
出版商
IEEE
简介
Goal
The presence of microcalcification clusters is a primary sign of breast cancer; however, it is difficult and time consuming for radiologists to classify microcalcifications as malignant or benign. In this paper, a novel method for the classification of microcalcification clusters in mammograms is proposed.
Methods
The topology/connectivity of individual microcalcifications is analyzed within a cluster using multiscale morphology. This is distinct from existing approaches that tend to concentrate on the morphology of individual microcalcifications and/or global (statistical) cluster features. A set of microcalcification graphs are generated to represent the topological structure of microcalcification clusters at different scales. Subsequently, graph theoretical features are extracted, which constitute the topological feature space for modeling and classifying microcalcification clusters. k-nearest-neighbors-based classifiers are …
学术搜索中的文章
Z Chen, H Strange, A Oliver, ERE Denton, C Boggis… - IEEE transactions on biomedical engineering, 2014