Neural network-based digitized cell image diagnosis of bladder wash cytology

Diagnostic Cytopathology

Volumn 23, Issue 3, 2000, Pages 171-179

  Vriesema, J L J ^a   Van Der Poel, H G ^a   Debruyne, F M J ^a   Schalken, J A ^a   Kok, L P ^b   Boon, M E ^c  

^a RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

^b UNIVERSITY OF GRONINGEN   (Netherlands)

^c LEIDEN CYTOLOGY AND PATHOLOGY LABORATORY   (Netherlands)

Author keywords

Bladder cancer; Bladder washing; Cytology; Digitized cell image system

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOANALYSIS; BLADDER CARCINOMA; BLADDER IRRIGATION; BLADDER MUCOSA; CYSTOSCOPY; HUMAN; HUMAN TISSUE; IMAGING SYSTEM; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC;

AREA UNDER CURVE; CARCINOMA IN SITU; CARCINOMA, TRANSITIONAL CELL; CYSTOSCOPY; CYTODIAGNOSIS; FOLLOW-UP STUDIES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; NEOPLASM RECURRENCE, LOCAL; NEURAL NETWORKS (COMPUTER); PILOT PROJECTS; REPRODUCIBILITY OF RESULTS; ROC CURVE; URINARY BLADDER NEOPLASMS; URINE;

EID: 0033840434     PISSN: 87551039     EISSN: None     Source Type: Journal    
DOI: 10.1002/1097-0339(200009)23:3<171::AID-DC6>3.0.CO;2-F     Document Type: Article

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