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A New Approach to Border Irregularity Assessment with Application in Skin Pathology

1
Department of Automatic Control and Robotics, AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059 Krakow, Poland
2
Chair of Pathomorphology, Jagiellonian University Medical College, ul. Grzegorzecka 16, 31-531 Krakow, Poland
3
Department of Immunology, Medical University of Warsaw, ul. Nielubowicza 5, 02-097 Warsaw, Poland
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(10), 2022; https://doi.org/10.3390/app9102022
Received: 13 March 2019 / Revised: 6 May 2019 / Accepted: 8 May 2019 / Published: 16 May 2019
(This article belongs to the Section Applied Biosciences and Bioengineering)

Abstract

The border irregularity assessment of tissue structures is an important step in medical diagnostics (e.g., in dermatoscopy, pathology, and cardiology). The diagnostic criteria based on the degree of uniformity and symmetry of border irregularities are particularly vital in dermatopathology, to distinguish between benign and malignant skin lesions. We propose a new method for the segmentation of individual border projections and measuring their morphometry. It is based mainly on analyzing the curvature of the object’s border to identify endpoints of projection bases, and on analyzing object’s skeleton in the graph representation to identify bases of projections and their location along the object’s main axis. The proposed segmentation method has been tested on 25. skin whole slide images of common melanocytic lesions. In total, 825. out of 992. (83.%) manually segmented retes (projections of epidermis) were detected correctly and the Jaccard similarity coefficient for the task of detecting retes was 0.798. Experimental results verified the effectiveness of the proposed approach. Our method is particularly well suited for assessing the border irregularity of human epidermis and thus could help develop computer-aided diagnostic algorithms for skin cancer detection. View Full-Text
Keywords: image analysis; border irregularity; feature detection; pathology; epidermis; morphometry; skin image analysis; border irregularity; feature detection; pathology; epidermis; morphometry; skin
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Dyduch, P.K.G.; Graczyk-Jarzynka, A.; Jaworek-Korjakowska, J. A New Approach to Border Irregularity Assessment with Application in Skin Pathology. Appl. Sci. 2019, 9, 2022.

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