Murine coronavirus temperature sensitive mutants.
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Biomedical subjects
Publications and source records attributed to K S Fu.
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A segmentation method for images from Papanicolaou smears is proposed that will locate the cellular boundary based on the stability of the perimeter of the cell and will locate the nucleus based on the thresholding of a smoothed histogram. It emphasizes the selection of the thresholds for nuclear and cytoplasmic boundary tracking. The problem of touching cells was handled by using texture information in the touching area as well as shape information from the cellular boundary. The proposed method, as applied to 11 scenes containing 19 cells of different classes, worked satisfactorily without any human interactions.
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The classification of white blood cell neutrophils into band neutrophils (bands) and segmented neutrophils (segs) is a subproblem of the white blood cell differential count. This classification problem is not well defined for at least two reasons: (a) there are no unique quantitative definitions for bands and segs and (b) existing definitions use the shape of the nucleus as the only discriminating criterion. When cells are classified on a slide, decisions are made from the two-dimensional views of these three-dimensional cells. A problem arises because the exact shape of the nucleus becomes indeterminate when the nucleus overlaps so that the filament is hidden. To assess the importance of this problem, this paper quantitates the classification errors due to overlapped nuclei (ON). The results indicate that, using only neutrophils without ON, the classification accuracy is 89%. For neutrophils with ON, the classification accuracy is 65%. This suggests a classification strategy of first classifying neutrophils into three categories: (a) bands without ON, (b) segs without ON and (c) neutrophils with ON. Category III can then be further classified into segs and bands by other stretegies.
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