Conference proceeding
Improved segmentation of abnormal cervical nuclei using a graph-search based approach
Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol.9420, pp.94200W-94200W-7
03/19/2015
DOI: 10.1117/12.2082856
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.
Details
- Title: Subtitle
- Improved segmentation of abnormal cervical nuclei using a graph-search based approach
- Creators
- Ling Zhang - University of IowaShaoxiong Liu - Peoples Hospital of Nanshan District (China)Tianfu Wang - Shenzhen UniversitySiping Chen - Shenzhen UniversityMilan Sonka - University of Iowa
- Contributors
- Metin N Gurcan (Editor) - The Ohio State Univ. Wexner Medical Ctr. (United States)Anant Madabhushi (Editor) - Case Western Reserve Univ. (United States)
- Resource Type
- Conference proceeding
- Publication Details
- Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol.9420, pp.94200W-94200W-7
- DOI
- 10.1117/12.2082856
- ISSN
- 1605-7422
- Publisher
- SPIE
- Language
- English
- Date published
- 03/19/2015
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984186592702771
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