Spatially aware cell cluster(SpACCl) graphs: Predicting outcome in oropharyngeal p16+ tumors

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8149 LNCS, Issue PART 1, 2013, Pages 412-419

  Ali, Sahirzeeshan ^a   Lewis, James ^b   Madabhushi, Anant ^a  

^a CASE WESTERN RESERVE UNIVERSITY   (United States)

^b WASHINGTON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GRAPH ALGORITHMS; GRAPH CONSTRUCTION; NUCLEAR ARCHITECTURE; NUCLEAR INTERACTION; PREDICTING OUTCOMES; QUANTITATIVE MEASUREMENT; SPATIAL ARRANGEMENTS; SPATIALLY AWARE;

CELLS; FORECASTING; SUPPORT VECTOR MACHINES; TUMORS;

CYTOLOGY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MICROSCOPY; OROPHARYNX TUMOR; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MICROSCOPY; OROPHARYNGEAL NEOPLASMS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84894631546     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40811-3_52     Document Type: Conference Paper

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