Superpixel pattern graphs for identifying breast mass ROIs in dense background: a preliminary study

Shelda Sajeev; Mariusz Bajger; Gobert Lee

doi:10.1117/12.2317589

6 July 2018 Superpixel pattern graphs for identifying breast mass ROIs in dense background: a preliminary study

Shelda Sajeev, Mariusz Bajger, Gobert Lee

Proceedings Volume 10718, 14th International Workshop on Breast Imaging (IWBI 2018); 107180V (2018) https://doi.org/10.1117/12.2317589
Event: The Fourteenth International Workshop on Breast Imaging, 2018, Atlanta, Georgia, United States

Abstract

Finding mamographic masses located in a dense breast tissue is a challenge even for an experienced radiologist. The difficulty comes from the similarity of intensity between the masses and the overlapped normal dense tissues. In this study, a novel method for classification of masses localized in dense background of breast is proposed. The method can identify meaningful superpixel patterns present in mammograms within mass-like regions. The topology of superpixel patterns, captured by using spatial connectivity graphs, revealed significant differences between cancerous and healthy areas of breasts. Four clinically recognizable features were extracted from the superpixel graphs and used for classification. The proposed approach was evaluated using ninety three dense ROIs selected from the publicly available Digital Database for Screening Mammography (DDSM). All 93 ROIs were localized in dense backgrounds of breasts. Among them, 41 contained malignant masses in dense backgrounds and 52 contained healthy dense breast tissues. The results indicate that the graph features generated from superpixel pattern graphs can produce very effective and efficient feature descriptors of breast masses localized in dense background. Using Fisher Linear Discriminant Analysis (LDA) classifier AUC score of 0.90 was achieved for the four dimensional feature vector.

Citation Download Citation

Shelda Sajeev, Mariusz Bajger, and Gobert Lee "Superpixel pattern graphs for identifying breast mass ROIs in dense background: a preliminary study", Proc. SPIE 10718, 14th International Workshop on Breast Imaging (IWBI 2018), 107180V (6 July 2018); https://doi.org/10.1117/12.2317589

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available