NDLI: Generation of clustered microcalcifications' atlases for benign and malignant cases

Content Provider	IEEE Xplore Digital Library
Author	Andreadis, I.I. Spyrou, G.M. Ligomenides, P.A. Nikita, K.S.
Copyright Year	2013
Description	Author affiliation: Acad. of Athens, Athens, Greece (Ligomenides, P.A.) \|\| Sch. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Athens, Greece (Andreadis, I.I.; Nikita, K.S.) \|\| Biomed. Res. Found. Acad. of Athens, Athens, Greece (Spyrou, G.M.)
Abstract	Breast microcalcifications are one of the most important mammographic findings related to the existence of the breast cancer. Radiologists usually characterize microcalcifications based on their morphologies, the distribution within the cluster they form, the shape of the cluster and its relative location inside the breast. In this study, we focus on the latter factor and we study its effect on the probability of malignancy. The main purpose of our study is to generate probabilistic breast cancer atlases for clusters of microcalcifications in order to visualize the influence of cluster location on cancer probability. We propose a framework for the generation of such atlases, including segmentation of important breast landmarks and projection of different clusters of microcalcifications on a reference breast shape. The generation of the atlases is implemented using mammograms from the Digital Database of Screening Mammography. The obtained probabilistic atlases reveal specific areas in the breast of higher occurrence of clusters and higher risk of malignancy.
Sponsorship	IEEE Comput. Soc.
Starting Page	1
Ending Page	4
File Size	875186
Page Count	4
File Format	PDF
ISBN	9781479931637
DOI	10.1109/BIBE.2013.6701694
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-10
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Breast Cancer Feature extraction Muscles Probabilistic logic Databases Image segmentation
Content Type	Text
Resource Type	Article

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