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Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder
INTRODUCTION: The exorbitant cost of accurately annotating the large-scale serial scanning electron microscope (SEM) images as the ground truth for training has always been a great challenge for brain map reconstruction by deep learning methods in neural connectome studies. The representation abilit...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10285402/ https://www.ncbi.nlm.nih.gov/pubmed/37360945 http://dx.doi.org/10.3389/fninf.2023.1118419 |