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Quantitative microscopy has strengthened conventional diagnostic scheme through better understanding of microscopic features from clinical perspective. Towards this, pathological image analysis has gained immense significance among medical fraternity through visualization and quantitative evaluation of clinical features. Till today pathological inspection of human blood is solely dependent on subjective...
The objective of this paper is to develop an automated cell classification system based on Bayesian classifier followed by segmentation using color deconvolution and feature extraction for characterizing various types of sub-epithelial connective tissue (SECT) cells from histological images. In the histological sections of oral mucosa, SECT layer mainly consists of three types of cells - inflammatory,...
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