Artificial intelligence for predicting recurrence-free probability of non-invasive high-grade urothelial bladder cell carcinoma

Oncology Reports

Volumn 18, Issue 4, 2007, Pages 959-964

  Cai, Tommaso ^a   Conti, Gloria ^a   Nesi, Gabriella ^a   Lorenzini, Matteo ^a   Mondaini, Nicola ^a   Bartoletti, Riccardo ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

Author keywords

Artificial neural network; Bladder cancer; Prognosis; Recurrence; Superficial urothelial carcinoma

Indexed keywords

AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; BLADDER TUMOR; CANCER STAGING; DISEASE FREE SURVIVAL; FEMALE; FOLLOW UP; HUMAN; MALE; MIDDLE AGED; PROBABILITY; PROGNOSIS; SURVIVAL RATE; TRANSITIONAL CELL CARCINOMA; TUMOR RECURRENCE;

AGED; AGED, 80 AND OVER; CARCINOMA, TRANSITIONAL CELL; DISEASE-FREE SURVIVAL; FEMALE; FOLLOW-UP STUDIES; HUMANS; MALE; MIDDLE AGED; NEOPLASM RECURRENCE, LOCAL; NEOPLASM STAGING; NEURAL NETWORKS (COMPUTER); PROBABILITY; PROGNOSIS; SURVIVAL RATE; URINARY BLADDER NEOPLASMS;

EID: 38449121087     PISSN: 1021335X     EISSN: 17912431     Source Type: Journal    
DOI: 10.3892/or.18.4.959     Document Type: Article

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