Dataset for "Automated identification of piglet brain issue from MRI images using Region-Based Convolutional Neural Networks"
Citation:
Larsen, Ryan; Stanke, Kayla L. ; Rund, Laurie; Leyshon, Brian; Louie, Allison; Steelman, Andrew (2023): Dataset for "Automated identification of piglet brain issue from MRI images using Region-Based Convolutional Neural Networks". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-5784165_V1
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Dataset Description

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.

Subject Life Sciences
Keywords Brain extraction; Machine learning; MRI; Piglet; neural networks
License See license.txt file in dataset.
Funder Abbott Nutrition - Grant: 00490326
Corresponding Creator Ryan Larsen
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Related Materials:
   Article 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
Version DOI Comment Publication Date
1 10.13012/B2IDB-5784165_V1 2023-05-02
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update: {"subject"=>["", "Life Sciences"]} 2023-05-10T20:07:32Z