Keywords
Neuroendocrine Tumors, INSM1, Image Analysis.
Methods
The techniques of nuclear classification algorithm is used to detect the nuclei in morphological form and size and classify them as positive or negative according to pixel colorization and intensity. Also, tile extraction, color deconvolution, morphological filters, threshold value method,and cell segmentation algorithms are used to develop INSM1 analysis. The analysis algorithm contains H-DAB colour deconvolution method. To detect negative nuclei H channel, and to detect and classify brown nuclei DAB channel are used. The positive nuclei are classified into three groups according to given threshold values by the user before running the analysis.
References
[1]Fujino, K., Yasufuku, K., Kudoh, S., Motooka, Y., Sato, Y., Wakimoto, J., ... & Ito, T. (2017). INSM1 is the best marker for the diagnosis of neuroendocrine tumors: comparison with CGA, SYP and CD56. Int J Clin Exp Pathol, 10(5), 5393-5405.