Data

Dataset: Conditional Generative Adversarial Network for enhancing the classification of autism spectrum disorder

Flinders University
Mikhail Kulyabin (Aggregated by) Paul Constable (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25451/flinders.27116719.v1&rft.title=Dataset: Conditional Generative Adversarial Network for enhancing the classification of autism spectrum disorder&rft.identifier=https://doi.org/10.25451/flinders.27116719.v1&rft.publisher=Flinders University&rft.description=Data set used for Conditional Generatiove Adveresarial Networks to generate synthetic ERG waveforms contains n=18 and n=31 ASD and control ERG waveforms recorded at 9 flash strengths. &rft.creator=Mikhail Kulyabin&rft.creator=Paul Constable&rft.date=2024&rft_rights=NON-COMMERCIAL-REUSE-ONLY-(CC-BY-NC)&rft_subject=ERG&rft_subject=Biomarker&rft_subject=Autism&rft_subject=Deep Learning&rft_subject=Translational and applied bioinformatics&rft_subject=Central nervous system&rft_subject=Sensory systems&rft.type=dataset&rft.language=English Access the data
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Data set used for Conditional Generatiove Adveresarial Networks to generate synthetic ERG waveforms contains n=18 and n=31 ASD and control ERG waveforms recorded at 9 flash strengths.

Issued: 2024-09-28

Created: 2024-09-28

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Subjects
Autism | Biomarker | Central nervous system | Deep Learning | ERG | Sensory systems | Translational and applied bioinformatics |

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