Data

MUPPET

Monash University
Ben Sinclair (Aggregated by) Brandon Low (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26180/29588624.v1&rft.title=MUPPET&rft.identifier=https://doi.org/10.26180/29588624.v1&rft.publisher=Monash University&rft.description=These are the weights for MedNeXt for the Automated Segmentation of Perivascular Spaces: A Comparative Evaluation of Deep Learning Algorithms, which segments perivascular spaces on T2-weighted MRI images.preprint:https://arxiv.org/abs/2508.20256Github:https://github.com/iBrain-Lab/MedNet-PVS&rft.creator=Ben Sinclair&rft.creator=Brandon Low&rft.date=2025&rft_rights=CC-BY-4.0&rft_subject=perivascular spaces (PVS)&rft_subject=MedNeXt&rft_subject=Artificial Intelligence&rft.type=dataset&rft.language=English Access the data
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Licence & Rights:

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CC-BY

CC-BY-4.0

Full description

These are the weights for MedNeXt for the Automated Segmentation of Perivascular Spaces: A Comparative Evaluation of Deep Learning Algorithms, which segments perivascular spaces on T2-weighted MRI images.


preprint:

https://arxiv.org/abs/2508.20256

Github:

https://github.com/iBrain-Lab/MedNet-PVS


Issued: 2025-10-30

Created: 2025-10-30

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Subjects
Artificial Intelligence | MedNeXt | perivascular spaces (PVS) |

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Identifiers
ACN 633 798 857