Classification of Activated Microglia by Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Classification of Activated Microglia by Convolutional Neural Networks

Published:2022-10-13 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)
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Author:

Hsu Chao-Hsiung¹,Agaronyan Artur¹,Katherine Raffensperger²,Kadden Micah²,Ton Hoai T.²,Wu Frank¹,Lin Yu-Shun¹,Lee Yih-Jing³,Wang Paul C.¹,Shoykhet Michael²,Tu Tsang-Wei¹

Affiliation:

1. Howard University,Molecular Imaging Laboratory,Department of Radiology,Washington,DC,USA

2. Children's National Hospital,Department of Critical Care Medicine,Washington,DC,USA

3. Fu-Jen Catholic University,School of Medicine,New Taipei City,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9948537/9948538/09948635.pdf?arnumber=9948635

Reference27 articles.

1. Characterizing microglia activation: A spatial statistics approach to maximize information extraction;davis;Sci Rep,2017

2. Microglia morphological categorization in a rat model of neuroinflammation by hierarchical cluster and principal components analysis;del m fernández-arjona;Front Cell Neurosci,2017

3. MIC‐MAC: An automated pipeline for high‐throughput characterization and classification of three‐dimensional microglia morphologies in mouse and human postmortem brain samples

4. Automated characterisation of microglia in ageing mice using image processing and supervised machine learning algorithms

5. Classification of Microglial Morphological Phenotypes Using Machine Learning

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