Active Learning Pipeline for Brain Mapping in a High Performance Computing Environment

Active Learning Pipeline for Brain Mapping in a High Performance Computing Environment

© 2020 IEEE. This paper describes a scalable active learning pipeline prototype for large-scale brain mapping that leverages high performance computing power. It enables high-throughput evaluation of algorithm results, which, after human review, are used for iterative machine learning model training...

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Bibliographic Details
Main Authors: Michaleas, Adam, Gjesteby, Lars A., Snyder, Michael, Chavez, David, Ash, Meagan, Melton, Matthew A., Lamb, Damon G., Burke, Sara N., Otto, Kevin J., Kamentsky, Lee, Guan, Webster, Chung, Kwanghun, Brattain, Laura J.
Other Authors: Lincoln Laboratory
Format: Article
Language:English
Published: IEEE 2021
Online Access:https://hdl.handle.net/1721.1/137292

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https://hdl.handle.net/1721.1/137292

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