Self-supervised feature extraction for 3D axon segmentation

© 2020 IEEE. Existing learning-based methods to automatically trace axons in 3D brain imagery often rely on manually annotated segmentation labels. Labeling is a labor-intensive process and is not scalable to whole-brain analysis, which is needed for improved understanding of brain function. We prop...

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Bibliographic Details
Main Authors: Klinghoffer, Tzofi (Author), Morales, Peter (Author), Park, Young-Gyun (Author), Evans, Nicholas B (Author), Chung, Kwanghun (Author), Brattain, Laura J. (Author)
Other Authors: Lincoln Laboratory (Contributor), Massachusetts Institute of Technology. Institute for Medical Engineering & Science (Contributor)
Format: Article
Language:English
Published: IEEE, 2022-01-04T14:51:28Z.
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