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Segmentation of cell nuclei and cytoplasm is an important task in most of the medical images. Microscopic cell image analysis is the fundamental tool for biological research. Visual inspection of cellular images is often insufficient to detect and describe the important changes in cellular morphology. In this paper, the cell segmentation approach uses the marker controlled watershed based approach,...
This paper presents a new method to automatically grade pathological prostate images according to Gleason grading system. Two feature extraction methods were proposed based on fractal dimension to analyze the variations of intensity and texture complexity in images. Each image can be classified into appropriate grade by using Bayes classifier and k-Nearest-Neighbor (k-NN) classifier, respectively...
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