Modeling nuclear shape with boundary representation of object

Shuliang Wang, Ying Li, Dakui Wang, Hanning Yuan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The nucleus shape is of greatly importance for disease diagnosis and cell function. In this paper, a new model for nucleus shape is proposed to more accurately represent it, which mainly contains two components: boundary axis representation and weighted least-squares B-spline fitting. Boundary axis representation is achieved by segmenting the nuclear object extracted from original images into two parts with the major axis and recognizing the object boundary of each part. Then weighted least-squares B-spline fitting is employed to obtain two curves to represent the nucleus shape. Experiments and comparisons demonstrate the effectiveness of the proposed model. Moreover, outliers can be discarded by using weighted idea to remarkably improve the fitting accuracy.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015
Editorslng. Matthieu Schapranow, Jiayu Zhou, Xiaohua Tony Hu, Bin Ma, Sanguthevar Rajasekaran, Satoru Miyano, Illhoi Yoo, Brian Pierce, Amarda Shehu, Vijay K. Gombar, Brian Chen, Vinay Pai, Jun Huan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages645-648
Number of pages4
ISBN (Electronic)9781467367981
DOIs
Publication statusPublished - 16 Dec 2015
EventIEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015 - Washington, United States
Duration: 9 Nov 201512 Nov 2015

Publication series

NameProceedings - 2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015

Conference

ConferenceIEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015
Country/TerritoryUnited States
CityWashington
Period9/11/1512/11/15

Keywords

  • B-spline interpolation
  • nuclear shapes
  • subcellular location

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