DIAGNOSTIC CYTOLOGIC SAMPLE PROFILES IN PATIENTS WITH BLADDER CANCER USING TICAS SYSTEM
- 1 January 1978
- journal article
- research article
- Vol. 22 (5) , 392-397
Abstract
Computer analysis of digitized cell images was applied to consecutively encountered, well preserved urothelial cells in the urinary sediment of 12 patients with bladder cancer. The composition of the cell sample, and notably the proportion of cells classified in the atypical and malignant categories, were of diagnostic significance, indicating that a computer-generated diagnosis based on the cells in a urinary sample could be achieved with a relatively small number of urothelial cells. The study also suggested that computer-generated cytologic profiles of patients with non-papillary carcinoma in situ can be distinguished from other forms of urothelial cancer. The atypicality indices computed for all cells from each patient provided important information but were per se insufficient for diagnostic purposes. High resolution scanning offers a promising approach to automation of cytology of the urinary sediment.This publication has 5 references indexed in Scilit:
- COMPUTER DISCRIMINANT-ANALYSIS OF ATYPICAL UROTHELIAL CELLS1978
- INDEXES OF CELL ATYPIA IN URINARY-TRACT CYTOLOGY1978
- COMPUTER-ANALYSIS OF ATYPICAL UROTHELIAL CELLS .2. CLASSIFICATION BY UNSUPERVIZED LEARNING ALGORITHMS1977
- COMPUTER-ANALYSIS OF ATYPICAL UROTHELIAL CELLS .1. CLASSIFICATION BY SUPERVISED LEARNING ALGORITHMS1977
- TAXONOMIC INTRA-CELLULAR ANALYTIC SYSTEM (TICAS) FOR CELL IDENTIFICATION1968