title: Discrimination between normal and malignant gastric epithelial cells by computer image analysis.
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.
mesh_terms: D002467:Cell Nucleus / Q000648:ultrastructure; D003581:Cytodiagnosis; D004847:Epithelial Cells; D005753:Gastric Mucosa / Q000166:cytology* / Q000473:pathology; D006801:Humans; D012984:Software; D013274:Stomach Neoplasms / Q000473:pathology*