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An End-to-end System for Automatic Characterization of Iba1 Immunopositive Microglia in Whole Slide Imaging: Data

Description: This mice brain data is used in the training and testing of a fully automated software pipeline for the characterization of Immunopositive Microglia in Whole Slide Imaging for Traumatic Brain Injury. The pipeline consists of two major components: White Matter Segmentation and Microglial Analysis in Count and Morphology, both of which use supervised machine learning algorithms that were trained using the respective folders. The pipeline was also tested as a whole for its performance using the brain sections included. This data was acquired by Dr. Wellington's group at the Centre for Brain Health, University of British Columbia.

For a complete description of each folder and its usage please refer to the readme document included.
Authors: Kyriazis, Alexander D.; University of British Columbia
Noroozizadeh, Shahriar; University of British Columbia
Refaee, Amir; University of British Columbia
Choi, Woongcheol; University of British Columbia
Chu, Lap-Tak; University of British Columbia
Bashir, Asma; University of British Columbia
Cheng, Wai Hang; University of British Columbia
Zhao, Rachel; University of British Columbia
Namjoshi, Dhananjay R.; University of British Columbia
Salcudean, Septimiu E.; University of British Columbia
Wellington, Cheryl L.; University of British Columbia
Nir, Guy; University of British Columbia
Keywords: Computer-aided detection and diagnosis
Whole slide imaging
Digital pathology
Classification
Traumatic brain injury
Field of Research: 
Clinical medicine
>
Clinical sciences
>
Neurology
Publication Date: 2018-10-16
Publisher: Federated Research Data Repository / dépôt fédéré de données de recherche
URI: https://doi.org/10.20383/101.0120

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Access to this dataset is subject to the following terms:
Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Citation
Kyriazis, A., Noroozizadeh, S., Refaee, A., Choi, W., Chu, L., Bashir, A., Cheng, W., Zhao, R., Namjoshi, D., Salcudean, S., Wellington, C., Nir, G. (2018). An End-to-end System for Automatic Characterization of Iba1 Immunopositive Microglia in Whole Slide Imaging: Data. Federated Research Data Repository. https://doi.org/10.20383/101.0120