Deep learning for brain electron microscopy segmentation: Advances, challenges, and future directions in connectomics and ultrastructure analysis

Deep learning for brain electron microscopy segmentation: Advances, challenges, and future directions in connectomics and ultrastructure analysis

<p dir="ltr">This systematic review and meta-analysis comprehensively analyzes deep learning approaches for brain electron microscopy (EM) segmentation, addressing the critical challenge of extracting neuroanatomical information at nanometer resolution. Following PRISMA guidelines, w...

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Bibliographic Details
Main Author: Uzair Shah (15740699) (author)
Other Authors: Mahmood Alzubaidi (15740693) (author), Marco Agus (8032898) (author), Corrado Calí (17302723) (author), Pierre J. Magistretti (8032907) (author), Mowafa Househ (9154124) (author)
Published: 2025
Subjects:
Biomedical and clinical sciences
Neurosciences
Health sciences
Health services and systems
Information and computing sciences
Artificial intelligence
Machine learning
Deep learning
Electron microscopy
Brain segmentation
Connectomics
Neural circuits
Convolutional neural networks
Transformers
Meta-analysis
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