COMPUTER-ANALYSIS OF ATYPICAL UROTHELIAL CELLS .1. CLASSIFICATION BY SUPERVISED LEARNING ALGORITHMS

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  • 1 January 1977
    • journal article
    • research article
    • Vol. 21  (2) , 247-260
Abstract
Computer discrimination of atypical (ATY) urothelial cells from the urinary sediment by means of supervised learning algorithms disclosed that these cells form a distinct, although ill-defined, family of cells which differs from normal (NEG) and malignant (POS) cell groups. The clinical significance of this observation must await long-term clinical follow-up. The possibility of issuing computer displays on individual patients with possible diagnostic and prognostic implications is discussed.