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Statistical classification / Histopathology / Cancer staging / Gleason Grading System / Urology / Prostate cancer / Support vector machine / Grading / Histogram / Medicine / Statistics / Machine learning


COMPUTER-AIDED GLEASON GRADING OF PROSTATE CANCER HISTOPATHOLOGICAL IMAGES USING TEXTON FORESTS Parmeshwar Khurd, Claus Bahlmann, Peter Maday, Ali Kamen Siemens Corporate Research, Princeton, NJ, USA
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Document Date: 2012-06-18 23:40:23

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City

Boston / /

Company

Siemens / /

Currency

USD / /

Facility

Beth Israel Deaconess Medical Center / /

IndustryTerm

classification algorithm / filter bank / classification algorithms / macroscopic imaging modalities / imaging / invariant filter bank / /

NaturalFeature

Shannon / ERTs / /

Organization

Beth Israel Deaconess Medical Center / National Institute of Health / U.S. Securities and Exchange Commission / /

Person

John V. Frangioni / Claus Bahlmann / Y. Pang / V / Ali Kamen / Roberto Tran / Rene Vidal / L.A. Goodell / V / Elizabeth M. Genega / /

Position

pathologist / /

Product

RPTs / /

Technology

clustering algorithm / classification algorithms / Kmeans algorithm / K-means algorithm / classification algorithm / clustering algorithms / Information Technology / boosting algorithm / Medical Imaging / /

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