Illinois Data Bank

Dataset for "Automated identification of piglet brain issue from MRI images using Region-Based Convolutional Neural Networks"

This dataset includes structural MRI head scans of 32 piglets, at 28 days of age, scanned at the University of Illinois. The dataset also includes manually drawn brain masks of each of the piglets. The dataset also includes brain masks that were generated automatically using Region-Based Convolutional Neural Networks (Mask R-CNN), trained on the manually drawn brain masks.

Life Sciences
Brain extraction; Machine learning; MRI; Piglet; neural networks
See license.txt file in dataset.
Abbott Nutrition-Grant:00490326
Ryan Larsen
405 times
Version DOI Comment Publication Date
1 10.13012/B2IDB-5784165_V1 2023-05-02

7.19 KB File
756 MB File
2.86 KB File
14.3 KB File

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RelatedMaterial update: {"link"=>["https://www.biorxiv.org/content/10.1101/2021.07.23.453526v3", "https://doi.org/10.1371/journal.pone.0284951"], "uri"=>["", "10.1371/journal.pone.0284951"], "uri_type"=>["", "DOI"], "citation"=>["Stanke KL, Larsen RJ, Rund L, Leyshon BJ, Louie AY, Steelman AJ. Automated identification of piglet brain tissue from MRI images using Region-Based Convolutional Neural Networks. bioRxiv. 2021.", "Stanke KL, Larsen RJ, Rund L, Leyshon BJ, Louie AY, et al. (2023) Automated identification of piglet brain tissue from MRI images using Region-based Convolutional Neural Networks. PLOS ONE 18(5): e0284951. https://doi.org/10.1371/journal.pone.0284951"], "datacite_list"=>["", "IsSupplementTo"]} 2023-06-20T23:25:58Z
Dataset update: {"subject"=>["", "Life Sciences"]} 2023-05-10T20:07:32Z
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