Discrimination between normal and malignant gastric epithelial cells by computer image analysis.

M Weinreb; G Zajicek; I S Levij

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PubMed · 6548885

Discrimination between normal and malignant gastric epithelial cells by computer image analysis.

M Weinreb·G Zajicek·I S Levij

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Abstract

The nuclei of 21 normal and 23 malignant epithelial cells from gastric smears obtained by brushing were analyzed by a black-and-white video camera under computer control. Each nucleus was digitized and its relief smoothed and displayed. A Sobel operator determined the nuclear boundaries and nuclear core area. Eighteen nuclear parameters (form descriptors and gray-value descriptors) were extracted for each nucleus and used as variables for discriminant analysis. Nine of these parameters proved useful for discrimination between normal and malignant gastric epithelial cells, with a correct classification rate of 100%. Of these, the best discriminating variables were the maximal gray value in the core, the maximal horizontal and vertical diameters, the core area and the mean derivative value in the core.

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Cell Nucleus Cytodiagnosis Epithelial Cells Gastric Mucosa Humans Software Stomach Neoplasms Journal Article

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M Weinreb, G Zajicek, I S Levij. 1984. Discrimination between normal and malignant gastric epithelial cells by computer image analysis.. https://pubmed.ncbi.nlm.nih.gov/6548885/

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