Detecting abnormal mammographic cases in temporal studies using image registration features

Robert Martí, Yago Díez, Arnau Oliver, Meritxell Tortajada, Reyer Zwiggelaar, Xavier Lladó

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

Image registration is increasingly being used to help radiologists when comparing temporal mammograms for lesion detection and classification. This paper evaluates the use of image and deformation features extracted from image registration results in order to detect abnormal cases with masses. Using a dataset of 264 mammographic images from 66 patients (33 normals and 33 with masses) results show that the use of a non-rigid registration method clearly improves detection results compared to no registration (AUC: 0.76 compared to 0.69). Moreover, feature combination using left and right breasts further improves the performance (AUC to 0.88) compared to single image features.

本文言語English
ホスト出版物のタイトルBreast Imaging - 12th International Workshop, IWDM 2014, Proceedings
出版社Springer-Verlag
ページ612-619
ページ数8
ISBN(印刷版)9783319078861
DOI
出版ステータスPublished - 2014 1 1
イベント12th International Workshop on Breast Imaging, IWDM 2014 - Gifu City, Japan
継続期間: 2014 6 292014 7 2

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
8539 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other12th International Workshop on Breast Imaging, IWDM 2014
国/地域Japan
CityGifu City
Period14/6/2914/7/2

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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