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Proceedings Paper

Medical imaging and computers in the diagnosis of breast cancer
Author(s): Maryellen L. Giger
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Paper Abstract

Computer-aided diagnosis (CAD) and quantitative image analysis (QIA) methods (i.e., computerized methods of analyzing digital breast images: mammograms, ultrasound, and magnetic resonance images) can yield novel image-based tumor and parenchyma characteristics (i.e., signatures that may ultimately contribute to the design of patient-specific breast cancer management plans). The role of QIA/CAD has been expanding beyond screening programs towards applications in risk assessment, diagnosis, prognosis, and response to therapy as well as in data mining to discover relationships of image-based lesion characteristics with genomics and other phenotypes; thus, as they apply to disease states. These various computer-based applications are demonstrated through research examples from the Giger Lab.

Paper Details

Date Published: 5 September 2014
PDF: 5 pages
Proc. SPIE 9189, Photonic Innovations and Solutions for Complex Environments and Systems (PISCES) II, 918908 (5 September 2014); doi: 10.1117/12.2059826
Show Author Affiliations
Maryellen L. Giger, The Univ. of Chicago (United States)

Published in SPIE Proceedings Vol. 9189:
Photonic Innovations and Solutions for Complex Environments and Systems (PISCES) II
Akhlesh Lakhtakia; Judith A. Todd, Editor(s)

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