A model for the selection of structural elements of lines in digital images in oncodermatology

Abstract

The problem of early diagnosis of one of the most dangerous malignant neoplasms of the skin – melanoma is considered. A model for identifying the structural elements of lines in digital images of skin neoplasms in oncodermatology has been developed. The model is based on adaptive binarization of the original digital dermatoscopic image of skin neoplasms and subsequent operations of dilation, erosion, skeletonization and filtering of false fragments of lines. Test dermatoscopic images of skin neoplasms are visually divided into four groups to conduct the experiment. The optimal parameters of image processing of four groups for the model of selection of structural elements – lines – are experimentally established. The experimentally determined accuracy of the selection of lines was 95 %. The work is the result of interdisciplinary cooperation between dermatologists of the Central Medical Academy of the Presidential Administration of the Russian Federation, the Medical Institute of the Peoples' Friendship University of Russia and specialists in the field of information and measurement systems of the Engineering and Physical Institute of Biomedicine of the National Research Nuclear University “MEPhI”. The proposed model can be used in the development of computer systems to support medical decision – making in the diagnosis of skin melanoma – a dangerous malignant neoplasm.