AimSeg validation dataset and classifiers

Name: AimSeg validation dataset and classifiers
Keywords: axon, corpus callosum, ilastik, remyelination, myelin sheath, machine learning, electron microscopy, manual annotation, inner cytoplasmic tongue, ground truth

Rondelli, Ana Maria; Carrillo-Barberà, Pau

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Dataset . 2023

License: CC BY

Data sources: Datacite

AimSeg validation dataset and classifiers

Research datakeyboard_double_arrow_right Dataset 09 Jun 2023Publisher:Zenodo

Authors: Rondelli, Ana Maria; Carrillo-Barberà, Pau;

doi: 10.5281/zenodo.8021007

AimSeg validation dataset and classifiers

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Abstract

The validation dataset includes transmission electron microscopy (TEM) images of the corpus callosum (CC) of adult mice undergoing remyelination. Additionally, the dataset includes an annotated ground truth for both the instance segmentation of the fibres and the semantic segmentation of the axon, the inner cytoplasmic tongue and the myelin. The training datasetset for pixel and object classifier is copied into the corresponding project file.

Related Organizations

Institute of Biomedicine and Biotechnology of Cantabria
Spain
Medical Research Council
United Kingdom
University of Cantabria
Spain
University of Edinburgh
United Kingdom
MRC Centre for Regenerative Medicine
United Kingdom

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Keywords

axon, corpus callosum, ilastik, remyelination, myelin sheath, machine learning, electron microscopy, manual annotation, inner cytoplasmic tongue, ground truth

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AimSeg ground truth and classifiers
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