Improved segmentation of abnormal cervical nuclei using a graph-search based approach

Ling Zhang; Shaoxiong Liu; Tianfu Wang; Siping Chen; Milan Sonka

doi:10.1117/12.2082856

19 March 2015 Improved segmentation of abnormal cervical nuclei using a graph-search based approach

Ling Zhang, Shaoxiong Liu, Tianfu Wang, Siping Chen, Milan Sonka

Proceedings Volume 9420, Medical Imaging 2015: Digital Pathology; 94200W (2015) https://doi.org/10.1117/12.2082856
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

Reliable segmentation of abnormal nuclei in cervical cytology is of paramount importance in automation-assisted screening techniques. This paper presents a general method for improving the segmentation of abnormal nuclei using a graph-search based approach. More specifically, the proposed method focuses on the improvement of coarse (initial) segmentation. The improvement relies on a transform that maps round-like border in the Cartesian coordinate system into lines in the polar coordinate system. The costs consisting of nucleus-specific edge and region information are assigned to the nodes. The globally optimal path in the constructed graph is then identified by dynamic programming. We have tested the proposed method on abnormal nuclei from two cervical cell image datasets, Herlev and H and E stained liquid-based cytology (HELBC), and the comparative experiments with recent state-of-the-art approaches demonstrate the superior performance of the proposed method.

Citation Download Citation

Ling Zhang, Shaoxiong Liu, Tianfu Wang, Siping Chen, and Milan Sonka "Improved segmentation of abnormal cervical nuclei using a graph-search based approach", Proc. SPIE 9420, Medical Imaging 2015: Digital Pathology, 94200W (19 March 2015); https://doi.org/10.1117/12.2082856

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