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Deep Learning Classification of Treatment Efficacy in Diabetic Painful Neuropathy

Authors: Kevin Teh;

Deep Learning Classification of Treatment Efficacy in Diabetic Painful Neuropathy

Abstract

Resting State analysis using group ICA. We have provided nifti files of our major findings in the paper. Specifically all spatial components (30) and selected spatial components (8). We used these as inputs to our voxnet based 3D CNN. We can provide preprocessed resting state data on request. These have been labelled based on folder structure into responders(res) and non responders(non) to lidocaine IV treatment of diabetic painful neuropathy patients.

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Keywords

3d CNN, painful diabetic neuropathy, GICA, Resting state

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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