A Model for Recognition of Dermatoscopic Points in Images of Skin Neoplasms

被引：0
|
作者：
V. G. Nikitaev
A. N. Pronichev
O. B. Tamrazova
V. Yu. Sergeev
M. A. Solomatin
L. S. Kruglova
V. S. Kozlov
E. A. Druzhinina
机构：
[1] National Research Nuclear University MEPhI (Moscow Engineering Physics Institute),
[2] Peoples’ Friendship University of Russia,undefined
[3] Central State Medical Academy,undefined
[4] Directorate of the President of the Russian Federation,undefined
来源：
Biomedical Engineering | 2021年 / 55卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The challenges of using computer diagnostics to seek structural elements of melanocytic neoplasms, including cutaneous melanomas at early stages of their development, are discussed. The characteristic features of the structural elements — dermatoscopic points — are also considered. A computer vision technique for recognizing these characteristic features is presented. The developed interdisciplinary approach can be used in the diagnosis of oncological diseases of the skin as a means of supporting decision making for the primary prevention of malignant neoplasms.
引用
收藏
页码：112 / 115
页数：3
相关论文
共 50 条
  • [1] A Model for Recognition of Dermatoscopic Points in Images of Skin Neoplasms
    Nikitaev, V.G.
    Pronichev, A.N.
    Tamrazova, O.B.
    Sergeev, V. Yu.
    Solomatin, M.A.
    Kruglova, L.S.
    Kozlov, V.S.
    Druzhinina, E.A.
    Nikitaev, V.G. (vgnikitayev@mephi.ru), 1600, Springer (55): : 112 - 115
  • [2] A Model for Recognition of Dermatoscopic Points in Images of Skin Neoplasms
    Nikitaev, V. G.
    Pronichev, A. N.
    Tamrazova, O. B.
    Sergeev, V. Yu.
    Solomatin, M. A.
    Kruglova, L. S.
    Kozlov, V. S.
    Druzhinina, E. A.
    BIOMEDICAL ENGINEERING-MEDITSINSKAYA TEKNIKA, 2021, 55 (02): : 112 - 115
  • [3] Detection of Circles as Structural Elements in Dermatoscopic Images of Skin Neoplasms in the Diagnosis of Melanoma
    V. G. Nikitaev
    A. N. Pronichev
    O. B. Tamrazova
    V. Yu. Sergeev
    O. A. Medvedeva
    V. S. Kozlov
    M. A. Solomatin
    Biomedical Engineering, 2021, 55 : 255 - 258
  • [4] Detection of Circles as Structural Elements in Dermatoscopic Images of Skin Neoplasms in the Diagnosis of Melanoma
    Nikitaev, V. G.
    Pronichev, A. N.
    Tamrazova, O. B.
    Sergeev, V. Yu
    Medvedeva, O. A.
    Kozlov, V. S.
    Solomatin, M. A.
    BIOMEDICAL ENGINEERING-MEDITSINSKAYA TEKNIKA, 2021, 55 (04): : 255 - 258
  • [5] Characterization of skin tumors in dermatoscopic images
    Serruys, C
    Brahmi, D
    Giron, A
    Vilain, J
    Triller, R
    Fertil, B
    MEDICAL IMAGING 1999: IMAGE PROCESSING, PTS 1 AND 2, 1999, 3661 : 1117 - 1126
  • [6] Model for Detecting Globules in Images of Skin Neoplasms
    Nikitaev V.G.
    Pronichev A.N.
    Tamrazova O.B.
    Sergeev V.Y.
    Lim A.O.
    Kozlov V.S.
    Mathematical Models and Computer Simulations, 2022, 14 (3) : 411 - 418
  • [7] Pigmented Skin Lesions Classification Using Dermatoscopic Images
    Capdehourat, German
    Corez, Andres
    Bazzano, Anabella
    Muse, Pablo
    PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, PROCEEDINGS, 2009, 5856 : 537 - +
  • [8] Skin Cancer Detection from Dermatoscopic Images Using Hybrid Fuzzy Ensemble Learning Model
    Mohanty, Mihir Narayan
    Das, Abhishek
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2024, 26 (01) : 260 - 273
  • [9] TransSLC: Skin Lesion Classification in Dermatoscopic Images Using Transformers
    Sarker, Md Mostafa Kamal
    Moreno-Garcia, Carlos Francisco
    Ren, Jinchang
    Elyan, Eyad
    MEDICAL IMAGE UNDERSTANDING AND ANALYSIS, MIUA 2022, 2022, 13413 : 651 - 660
  • [10] An artificial intelligence model for the semantic segmentation of neoplasms on images of the skin
    Nikitaev, V. G.
    Pronichev, A. N.
    Nagornov, O. V.
    Kruglova, L. S.
    Sergeev, V. Yu.
    Otchenashenko, A. I.
    BIOMEDICAL ENGINEERING, 2024, 58 (01) : 36 - 39
12345