TRAFIC: Fiber Tract Classification Using Deep Learning.
Ontology highlight
ABSTRACT:
SUBMITTER: Ngattai Lam PD
PROVIDER: S-EPMC5956534 | biostudies-literature | 2018 Feb
REPOSITORIES: biostudies-literature
Publications
TRAFIC: Fiber Tract Classification Using Deep Learning.
Ngattai Lam Prince D PD Belhomme Gaetan G Ferrall Jessica J Patterson Billie B Styner Martin M Prieto Juan C JC
Proceedings of SPIE--the International Society for Optical Engineering 20180201
We present TRAFIC, a fully automated tool for the labeling and classification of brain fiber tracts. TRAFIC classifies new fibers using a neural network trained using shape features computed from previously traced and manually corrected fiber tracts. It is independent from a DTI Atlas as it is applied to already traced fibers. This work is motivated by medical applications where the process of extracting fibers from a DTI atlas, or classifying fibers manually is time consuming and requires knowl ...[more]
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