Automatic segmentation and automatic seed point selection of nasopharyngeal carcinoma from microscopy images using region growing based approach

The findings outcome from this study have shown that: (1) a new adaptive threshold is used as a post-processing to at long last detect the NPC; (2) identified and established an evaluation criterion for automatic segmentation of NPC cases; (3) highlight the methods, based on region growing based technique and active contour operation, for selecting the best region; (4) assessed the performance of the proposed results by comparing the manual measurements and automatic NPC segmentation. The NPC segmentation rate in the technique used is about 83.89%. Comparably, this amount expanded to 92.04% once a line presumption (NPC approximation) was utilized in one of the stage in the technique here.