Deep Reinforcement Learning for Data Association in Cell Tracking

Deep Reinforcement Learning for Data Association in Cell Tracking

Accurate target detection and association are vital for the development of reliable target tracking, especially for cell tracking based on microscopy images due to the similarity of cells. We propose a deep reinforcement learning method to associate the detected targets between frames. According to...

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Bibliographic Details
Main Authors: Junjie Wang, Xiaohong Su, Lingling Zhao, Jun Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
cell tracking
linear assignment problem
deep learning
deep reinforcement learning
data association
residual CNN
Online Access:https://www.frontiersin.org/article/10.3389/fbioe.2020.00298/full

Internet

https://www.frontiersin.org/article/10.3389/fbioe.2020.00298/full

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