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GitHub / sjyothul / supervised-machine-learning-to-classify-the-IC-images-of-rs-fMRI-scans-as-RSN

we will use supervised learning techniques to classify the independent component (IC) images of resting state functional magnetic resonance imaging (rs-fMRI) scans as Noise and Resting state network (RSN)

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sjyothul%2Fsupervised-machine-learning-to-classify-the-IC-images-of-rs-fMRI-scans-as-RSN

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 9.77 KB
Dependencies parsed at: Pending

Created at: about 2 years ago
Updated at: about 2 years ago
Pushed at: about 2 years ago
Last synced at: about 2 years ago

Topics: binary-classification, brain-extraction, data-mining, image-processing, model-training, python, resting-state, rs-fmri, supervised-machine-learning

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