Medical imaging and computers in the diagnosis of breast cancer

Maryellen L. Giger

doi:10.1117/12.2059826

5 September 2014 Medical imaging and computers in the diagnosis of breast cancer

Maryellen L. Giger

Proceedings Volume 9189, Photonic Innovations and Solutions for Complex Environments and Systems (PISCES) II; 918908 (2014) https://doi.org/10.1117/12.2059826
Event: SPIE Optical Engineering + Applications, 2014, San Diego, California, United States

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.

Citation Download Citation

Maryellen L. Giger "Medical imaging and computers in the diagnosis of breast cancer", Proc. SPIE 9189, Photonic Innovations and Solutions for Complex Environments and Systems (PISCES) II, 918908 (5 September 2014); https://doi.org/10.1117/12.2059826

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