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  Indian J Med Microbiol
 

Figure 4: Histograms of the S-V of tissue folds and non-tissue folds of the images shown in Figure 8. (a) Histogram of the manually segmented tissue folds. We can see that although the tissue folds were segmented from slides having differing staining conditions and were scanned using different scanners they showed similar tendencies - folds tend to acquire positive S-V values. The pixels that acquired negative S-V values in the plot could correspond to pixels that belong to patches of non-folded areas which were not carefully delineated by the manual segmenter. (b) Histogram of non-folded areas. In contrast to folded areas, the non-folded areas are more inclined to acquire negative values. The pixels with positive S-V values could correspond to nuclei areas, since like tissue folds nuclei are also stained darker compared to other tissue components

Figure 4: Histograms of the S-V of tissue folds and non-tissue folds of the images shown in Figure 8. (a) Histogram of the manually segmented tissue folds. We can see that although the tissue folds were segmented from slides having differing staining conditions and were scanned using different scanners they showed similar tendencies - folds tend to acquire positive S-V values. The pixels that acquired negative S-V values in the plot could correspond to pixels that belong to patches of non-folded areas which were not carefully delineated by the manual segmenter. (b) Histogram of non-folded areas. In contrast to folded areas, the non-folded areas are more inclined to acquire negative values. The pixels with positive S-V values could correspond to nuclei areas, since like tissue folds nuclei are also stained darker compared to other tissue components