Abnormalities Identification in Mammograms

被引：0

作者：

Chiorean, L. D. ^{[1
]}

Vaida, M. F. ^{[1
]}

Striletchi, C. ^{[1
]}

机构：

[1] Tech Univ Cluj Napoca, Commun Dept, Cluj Napoca, Romania

来源：

INTERNATIONAL CONFERENCE ON ADVANCEMENTS OF MEDICINE AND HEALTH CARE THROUGH TECHNOLOGY, MEDITECH 2016 | 2017年 / 59卷

关键词：

segmentation; detection; mammography; abnormality; breast cancer;

D O I：

10.1007/978-3-319-52875-5_44

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper proposes a method for detection of abnormalities in mammograms that could be integrated into a computer-aided diagnosis system. The method is based on segmentation using a clustering method, elimination of small regions, blobs and contour detection and a density analysis. The method was tested on images from screening mammography databases and the results are compared with the selections realized by specialists. The tests show that the method offers good results on images that present well defined abnormalities and by adjusting some parameters it can even detect distortions difficult to be noticed by physicians.

引用

页码：201 / 204

页数：4

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