Title

Cell Segmentation using Stable Extremal Regions in Multi-Exposure Microscopy Images

Abstract

We propose a novel cell segmentation approach by extracting Multi-exposure Maximally Stable Extremal Regions (MMSER) in phase contrast microscopy images on the same cell dish. Using our method, cell regions can be well identified by considering the maximally stable regions with response to different camera exposure times. Meanwhile, halo artifacts with regard to cells at different stages are leveraged to identify cells' stages. The experimental results validate that high quality cell segmentation and cell stage classification can be achieved by our approach.

Meeting Name

International Symposium on Biomedical Imaging (2015: Apr. 13-16, Prague, Czech Republic)

Department(s)

Computer Science

Keywords and Phrases

Cytology; Image Segmentation; Medical Imaging; Microscopic Examination; Cell Segmentation; Different Stages; Halo Artifact; High Quality; Maximally Stable Extremal Regions; Microscopy Images; Multi Exposure; Stable Region; Cells; Microscopy

International Standard Book Number (ISBN)

9781479923502

International Standard Serial Number (ISSN)

1945-7928

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2016 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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