Evaluation of Augmentation Methods in Classifying Autism Spectrum Disorders from fMRI Data with 3D C...
Evaluation of Augmentation Methods in Classifying Autism Spectrum Disorders from fMRI Data with 3D Convolutional Neural Networks
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Basel: MDPI AG
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English
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Basel: MDPI AG
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Classifying subjects as healthy or diseased using neuroimaging data has gained a lot of attention during the last 10 years, and recently, different deep learning approaches have been used. Despite this fact, there has not been any investigation regarding how 3D augmentation can help to create larger datasets, required to train deep networks with mi...
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Evaluation of Augmentation Methods in Classifying Autism Spectrum Disorders from fMRI Data with 3D Convolutional Neural Networks
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TN_cdi_doaj_primary_oai_doaj_org_article_1fb3f98395ba4a6e91b671664383d6d2
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1fb3f98395ba4a6e91b671664383d6d2
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2075-4418
E-ISSN
2075-4418
DOI
10.3390/diagnostics13172773
