Browsing by Author "Seminowich, Sansira Lyne"
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- ItemOpen AccessDigital image processing techniques for analysis of images of renal biopsy samples(2012) Seminowich, Sansira Lyne; Rangayyan, Rangaraj M.; Yilmaz, SerdarDiagnosis and monitoring of kidney transplant allografts is supported by microscopic analysis of renal biopsy samples. Visual analysis by pathologists allows for inconsistencies, bias, and inaccuracies; image analysis via digital processing can address these concerns, reduce effort, and potentially provide a second opinion. In this thesis, digital image analysis methods for automatic segmentation of structures in images of renal biopsy samples are presented. 1\/Iethods for accurate segmentation of the effective biopsy area include opening by reconstruction, morphological closing, and erosion. The re ults were compared to contours drawn by an experienced pathologist; the mean distance to the closest point was 5.46 ± 3.92 µm (6 ± 4.31 pixels) and the true-positive fraction was 98.25 ± 1.77%. Methods for automatic segmentation of cell nuclei are also presented, including, automatic thresholding, adaptive thresholding, and morphological granulometry. The results were verified against pathologist annotations; true-positive ratios were in the range of 0.80 to 0.93.