Successfully detecting melanocyte cells in the skin epidermis has great significance in skin histopathology. Because of
the existence of cells with similar appearance to melanocytes in hematoxylin and eosin (HE) images of the epidermis,
detecting melanocytes becomes a challenging task. This paper proposes a novel technique for the detection of
melanocytes in HE images of the epidermis, based on the melanocyte color features, in the HSI color domain. Initially,
an effective soft morphological filter is applied to the HE images in the HSI color domain to remove noise. Then a
novel threshold-based technique is applied to distinguish the candidate melanocytes’ nuclei. Similarly, the method is
applied to find the candidate surrounding halos of the melanocytes. The candidate nuclei are associated with their
surrounding halos using the suggested logical and statistical inferences. Finally, a fuzzy inference system is proposed,
based on the HSI color information of a typical melanocyte in the epidermis, to calculate the similarity ratio of each
candidate cell to a melanocyte. As our review on the literature shows, this is the first method evaluating epidermis cells
for melanocyte similarity ratio. Experimental results on various images with different zooming factors show that the
proposed method improves the results of previous works.
Mohaddeseh Koosha, S. Pourya Hoseini Alinodehi, Mircea Nicolescu, and Zahra Safaei Naraghi, "Automatic evaluation of skin histopathological images for melanocytic features," Proc. SPIE 10140, Medical Imaging 2017: Digital Pathology, 1014006 (Presented at SPIE Medical Imaging: February 12, 2017; Published: 1 March 2017); https://doi.org/10.1117/12.2255002.
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