Model for Estimating the Morphological Characteristics of Structureless Areas of Pigmented Skin Neoplasms

Abstract The problem of early diagnosis of skin melanoma by dermatoscopic images of skin neoplasms is considered. A model for assessing the diagnostically significant morphological characteristics of neoplasm elements—structureless areas—is proposed. An experimental study has been conducted to determine the adequacy of the model. The most informative features for assessment of morphological characteristics have been identified. The best classification accuracy (94%) has been achieved for feature A1. The results of this study can be applied in the development of medical decision support systems for the diagnosis of skin melanoma.

Авторы
Tamrazova O.B. 1 , Nikitaev V.G. , Pronichev A.N. , Sergeev V.Yu. , Sergeev Yu.Yu. , Lim A.O. , Kozlov V.S.
Номер выпуска
11
Страницы
1943-1947
Статус
Опубликовано
Том
85
Год
2022
Организации
  • 1 Росcийский университет дружбы народов
Ключевые слова
recognition; segmentation; digital image processing; dermatoscopy; diagnosis of melanoma; oncological diagnostics; computer vision
Дата создания
21.04.2023
Дата изменения
21.04.2023
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/93446/
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