Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence

Artificial Intelligence in Medicine

Volumn 38, Issue 3, 2006, Pages 291-303

  Tasoulis, Dimitris K ^a   Spyridonos, Panagiota ^b   Pavlidis, Nicos G ^a   Plagianakos, Vassilis P ^a   Ravazoula, Panagiota ^c   Nikiforidis, Georgios ^b   Vrahatis, Michael N ^a  

^a UNIVERSITY OF PATRAS   (Greece)

^b UNIVERSITY OF PATRAS   (Greece)

^c UNIVERSITY HOSPITAL OF PATRAS   (Greece)

Author keywords

Feature selection; Neural networks; Prognosis of cancer recurrence; Unsupervised clustering

Indexed keywords

ALGORITHMS; BACKPROPAGATION; CELLS; DATA REDUCTION; FEEDFORWARD NEURAL NETWORKS; FUZZY SETS; NEUROLOGY;

CANCER RECURRENCE; FEATURE SELECTION; FEATURE SETS; UNSUPERVISED CLUSTERING;

TUMORS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BLADDER BIOPSY; BLADDER CANCER; CANCER DIAGNOSIS; CANCER RECURRENCE; CELL NUCLEUS; CLUSTER ANALYSIS; COMPUTER PROGRAM; CONTROLLED STUDY; HUMAN; IMAGE ANALYSIS; MAJOR CLINICAL STUDY; MATHEMATICAL MODEL; MEDICAL INFORMATICS; POSITIVE FEEDBACK; PREDICTION; PRIORITY JOURNAL; PROGNOSIS; STATISTICAL SIGNIFICANCE;

ALGORITHMS; CELL NUCLEUS; FUZZY LOGIC; HUMANS; MODELS, BIOLOGICAL; NEOPLASM RECURRENCE, LOCAL; NEOPLASM STAGING; PROGNOSIS; URINARY BLADDER NEOPLASMS;

EID: 33750951933     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2006.07.008     Document Type: Article

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