Tissue pattern recognition error rates and tumor heterogeneity in gastric cancer

Applied Immunohistochemistry and Molecular Morphology

Volumn 21, Issue 1, 2013, Pages 21-30

  Potts, Steven J ^a   Huff, Sarah E ^a   Lange, Holger ^a   Zakharov, Vladislav ^b   Eberhard, David A ^a,c   Krueger, Joseph S ^a   Hicks, David G ^b   Young, George David ^a   Johnson, Trevor ^a   Whitney Miller, Christa L ^b  

^a Flagship Biosciences   (United States)

^b UNIVERSITY OF ROCHESTER MEDICAL CENTER   (United States)

^c UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

digital image analysis; gastric cancer; gastroesophageal junction cancer; monoclonal antibody; tumor heterogeneity; whole slide imaging

Indexed keywords

EPIDERMAL GROWTH FACTOR RECEPTOR 2;

ACCURACY; ARTICLE; AUTOMATED PATTERN RECOGNITION; CONTROLLED STUDY; HUMAN; HUMAN TISSUE; IMMUNOHISTOCHEMISTRY; MEASUREMENT ERROR; MONTE CARLO METHOD; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RANDOMIZATION; SAMPLING; STOMACH CANCER; TISSUE PATTERN RECOGNITION;

ADENOCARCINOMA; COMPUTER SIMULATION; DIAGNOSIS, COMPUTER-ASSISTED; DIAGNOSTIC ERRORS; HUMANS; IMAGING, THREE-DIMENSIONAL; IMMUNOHISTOCHEMISTRY; MICROSCOPY; MONTE CARLO METHOD; RECEPTOR, ERBB-2; STOMACH NEOPLASMS; WORKFLOW;

EID: 84871978557     PISSN: 15412016     EISSN: 15334058     Source Type: Journal    
DOI: 10.1097/PAI.0b013e31825552a3     Document Type: Article

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