Two-Stream Bidirectional Long Short-Term Memory for Mitosis Event Detection and Stage Localization in Phase-Contrast Microscopy Images

Author

Yunxiang Mao
Zhaozheng Yin, Missouri University of Science and TechnologyFollow

Abstract

In this paper, we propose a Two-Stream Bidirectional Long Short-Term Memory (TS-BLSTM) for the task of mitosis event detection and stage localization in time-lapse phase contrast microscopy image sequences. Our method consists of two steps. First, we extract candidate mitosis image sequences. Then, we solve the problem of mitosis event detection and stage localization jointly by the proposed TS-BLSTM, which utilizes both appearance and motion information from candidate sequences. The proposed method outperforms state-of-the-arts by achieving 98.4% precision and 97.0% recall for mitosis detection and 0.62 frame error on average for mitosis stage localization in five challenging image sequences.

Recommended Citation

Y. Mao and Z. Yin, "Two-Stream Bidirectional Long Short-Term Memory for Mitosis Event Detection and Stage Localization in Phase-Contrast Microscopy Images," Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10434 LNCS, pp. 56 - 64, Springer Verlag, Sep 2017.

The definitive version is available at https://doi.org/10.1007/978-3-319-66185-8_7

Department(s)

Computer Science

Research Center/Lab(s)

Intelligent Systems Center

International Standard Book Number (ISBN)

978-331966184-1

International Standard Serial Number (ISSN)

0302-9743

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2017 Springer Verlag, All rights reserved.

Publication Date

01 Sep 2017