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Image processing / Biopsy / Surgical procedures / Prostate cancer / High-grade prostatic intraepithelial neoplasia / Prostate biopsy / Prostate / Tumor / Medical imaging / Medicine / Histopathology / Pathology


Proceedings of the 8th INFORMS Workshop on Data Mining and Health Informatics (DM-HI[removed]O. Seref, N. Serban, D. Zeng, eds. Discovering Anomalous Patterns in Large Digital Pathology Images Sriram Somanchi, Daniel B. Ne
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Document Date: 2013-08-28 07:31:36

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Country

United States / /

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Facility

Pattern Detection Laboratory Carnegie Mellon University / laboratory Medicine / Carnegie Mellon University / University of Pittsburgh Medical Center / /

IndustryTerm

anomaly detection algorithm / digital imaging / medical imaging technology / computer-aided diagnostic tools / imaging / exhaustive search / /

MedicalCondition

cancer / disease / prostatic intraepithelial neoplasia / prostate cancers / society-national prostate cancer / Crohn.s disease / american cancer / gastritis / prostate cancer / inflammation / /

MusicAlbum

Green / Red / Blue / Alpha / /

Organization

Royal Statistical Society / University of Pittsburgh / Pattern Detection Laboratory Carnegie Mellon University Pittsburgh / National Science Foundation / Department of Pathology / Carnegie Mellon University / Pittsburgh Medical Center / /

Person

Sriram Somanchi / B. Neill Event / Anil Parwani / Daniel B. Neill / /

Position

pathologist / representative / /

PublishedMedium

Journal of the Royal Statistical Society / /

Technology

Alpha / cancer detection / LTSS algorithm / LTSS-granular algorithms / Data Mining / digital imaging / medical imaging technology / HLTSS algorithm / anomaly detection algorithm / /

URL

http /

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