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    Optimized approach to decision fusion of heterogeneous data for breast cancer diagnosis. 

    Jesneck, JL; Nolte, LW; Baker, JA; Floyd, CE; Lo, JY (Med Phys, 2006-08)
    As more diagnostic testing options become available to physicians, it becomes more difficult to combine various types of medical information together in order to optimize the overall diagnosis. To improve diagnostic performance, ...
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    Comparative performance of multiview stereoscopic and mammographic display modalities for breast lesion detection. 

    Webb, LJ; Samei, E; Lo, JY; Baker, JA; Ghate, SV; Kim, C; Soo, MS; ... (8 authors) (Med Phys, 2011-04)
    PURPOSE: Mammography is known to be one of the most difficult radiographic exams to interpret. Mammography has important limitations, including the superposition of normal tissue that can obscure a mass, chance alignment ...
     

     

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    AuthorBaker, JA (2)
    Lo, JY (2)
    Floyd, CE (1)Ghate, SV (1)Jesneck, JL (1)Kim, C (1)Nolte, LW (1)Samei, E (1)Soo, MS (1)Walsh, R (1)... View MoreDate Issued2006 (1)2011 (1)TypeJournal article (2)Subject
    Algorithms (2)
    Breast Neoplasms (2)Humans (2)Artificial Intelligence (1)Computer Graphics (1)Database Management Systems (1)Databases, Factual (1)Decision Support Systems, Clinical (1)Diagnosis, Computer-Assisted (1)Image Processing, Computer-Assisted (1)... View MoreDepartmentBiomedical Engineering (1)Medical Physics (1)Affiliation of Duke Author(s)
    Biomedical Engineering (2)
    Clinical Science Departments (2)
    Duke (2)
    Duke Cancer Institute (2)
    Institutes and Centers (2)Pratt School of Engineering (2)Radiology (2)Radiology, Breast Imaging (2)School of Medicine (2)Electrical and Computer Engineering (1)... View More