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Two-stream bidirectional long short-term memory for mitosis event detection and stage localization in phase-contrast microscopy images

  • Missouri University of Science and Technology

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

13 Scopus citations

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.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings
EditorsPierre Jannin, Simon Duchesne, Maxime Descoteaux, Alfred Franz, D. Louis Collins, Lena Maier-Hein
PublisherSpringer Verlag
Pages56-64
Number of pages9
ISBN (Print)9783319661841
DOIs
StatePublished - 2017
Event20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017 - Quebec City, Canada
Duration: Sep 11 2017Sep 13 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10434 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017
Country/TerritoryCanada
CityQuebec City
Period09/11/1709/13/17

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