Detection and classification of clusters of microcalcifications on mammographic images

被引:0
|
作者
Pasynkov, D. V. [1 ,2 ]
Egoshin, I. A. [3 ]
Kolchev, A. A. [4 ]
Romanycheva, E. A. [5 ]
Klyushkin, I. V. [6 ]
Pasynkova, O. O. [3 ]
机构
[1] Mari State Univ, Dept Radiol Diagnost & Oncol, Yoshkar Ola, Republic Of Mar, Russia
[2] Minist Hlth Russian Federat, Kazan State Med Acad, Dept Diagnost Ultrasound, Russian Med Acad Continuing Profess Educ, Kazan, Russia
[3] Mari State Univ, Yoshkar Ola, Republic Of Mar, Russia
[4] Kazan Volga Fed Univ, Kazan, Russia
[5] Mari El Republican Oncol Clin, Yoshkar Ola, Republic Of Mar, Russia
[6] Kazan State Med Univ, Minist Hlth Russian Federat, Kazan, Russia
基金
俄罗斯科学基金会;
关键词
D O I
10.1007/s10527-024-10362-7
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
An algorithm for detecting and classifying clusters of microcalcifications on mammograms is proposed. A feature of the algorithm proposed here is its potential for application to different types of calcifications and clusters of calcifications (both benign and suspicious). At the same time, vascular calcifications, which often give false positive results in algorithms, are analyzed separately, and a solution to this problem is proposed. The effectiveness of the proposed methods was assessed using a database of mammograms from patients with verified diagnoses. The classification algorithm achieved 96.15% accuracy, 95.32% specificity, and 98.21% sensitivity.
引用
收藏
页码:40 / 44
页数:5
相关论文
共 50 条
  • [21] Morphological filtering and multiresolution fusion for mammographic microcalcifications detection
    Chen, LL
    Chen, CW
    Parker, KJ
    IMAGE PROCESSING - MEDICAL IMAGING 1997, PTS 1 AND 2, 1997, 3034 : 938 - 949
  • [22] Unsupervised detection and delineation of fine and subtle microcalcifications in high resolution X-ray mammographic images
    Bruynooghe, M
    COMPUTER-AIDED DIAGNOSIS IN MEDICAL IMAGING, 1999, 1182 : 237 - 242
  • [23] Predictors of mammographic microcalcifications
    Azam, Shadi
    Eriksson, Mikael
    Sjolander, Arvid
    Gabrielson, Marike
    Hellgren, Roxanna
    Czene, Kamila
    Hall, Per
    INTERNATIONAL JOURNAL OF CANCER, 2021, 148 (05) : 1132 - 1143
  • [24] Classification of Clusters of Microcalcifications in Digital Breast Tomosynthesis
    Ho, Candy P. S.
    Tromans, Christopher
    Schnabel, Julia A.
    Brady, Michael
    2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2010, : 3166 - 3169
  • [25] Evaluation of the index quality image analysing microcalcifications in digitized mammographic images
    Mayo, P
    Rodenas, F
    Verdú, G
    Villaescusa, JI
    Campayo, JM
    ITAB 2003: 4TH INTERNATIONAL IEEE EMBS SPECIAL TOPIC CONFERENCE ON INFORMATION TECHNOLOGY APPLICATIONS IN BIOMEDICINE, CONFERENCE PROCEEDINGS: NEW SOLUTIONS FOR NEW CHALLENGES, 2003, : 269 - 271
  • [26] A fuzzy logic based approach for semiological analysis of microcalcifications in mammographic images
    Bothorel, S
    Meunier, BB
    Muller, S
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 1997, 12 (11-12) : 819 - 848
  • [27] Detection and classification of masses in mammographic images in a multi-kernel approach
    de Lima, Sidney M. L.
    da Silva-Filho, Abel G.
    dos Santos, Wellington Pinheiro
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2016, 134 : 11 - 29
  • [28] Mammographic Classification of Breast Cancer Microcalcifications through Extreme Gradient Boosting
    Liang, Haobang
    Li, Jiao
    Wu, Hejun
    Li, Li
    Zhou, Xinrui
    Jiang, Xinhua
    ELECTRONICS, 2022, 11 (15)
  • [29] Dependence of computer classification of clustered microcalcifications on the correct detection of microcalcifications
    Jiang, YL
    Nishikawa, RM
    Papaioannou, J
    MEDICAL PHYSICS, 2001, 28 (09) : 1949 - 1957
  • [30] POINT PROCESS MODELING FOR DETERMINING DETECTION ACCURACY OF MAMMOGRAPHIC MICROCALCIFICATIONS
    de Cea, Mara V. Sainz
    Yang, Yongyi
    2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2017, : 1357 - 1361