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

来源：

BIOMEDICAL ENGINEERING | 2024年 / 58卷 / 01期

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

页码：40 / 44

页数：5

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