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Volumn 39, Issue 5, 2001, Pages 530-537
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Prediction of postoperative prostatic cancer stage on the basis of systematic biopsies using two types of artificial neural networks
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Author keywords
Artificial intelligence; Biostatistics; Information science; Neural networks; Pathology; Prostate neoplasms
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Indexed keywords
ACCURACY;
ADULT;
AGED;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
CANCER INFILTRATION;
CANCER STAGING;
ECHOGRAPHY;
HISTOPATHOLOGY;
HUMAN;
HUMAN TISSUE;
MALE;
POSTOPERATIVE PERIOD;
PRIORITY JOURNAL;
PROSTATE BIOPSY;
PROSTATE CANCER;
SENSITIVITY AND SPECIFICITY;
AGED;
AGED, 80 AND OVER;
BIOPSY;
DISEASE PROGRESSION;
FEASIBILITY STUDIES;
HUMANS;
MALE;
MIDDLE AGED;
NEOPLASM STAGING;
NEURAL NETWORKS (COMPUTER);
PILOT PROJECTS;
POSTOPERATIVE PERIOD;
PREDICTIVE VALUE OF TESTS;
PROSTATIC NEOPLASMS;
SENSITIVITY AND SPECIFICITY;
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EID: 0034912542
PISSN: 03022838
EISSN: None
Source Type: Journal
DOI: 10.1159/000052499 Document Type: Article |
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Times cited : (16)
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References (0)
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