Human-like few-shot and one-shot learning of the electrocardiograms: an empirical study investigating the use of a pseudo-coloring technique to improve and explain machine vision predictions of long QT syndrome
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| Formato: | Recurso digital |
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2025
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| _version_ | 1866902201123733504 |
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| author | Alahmadi, Alaa |
| author_facet | Alahmadi, Alaa |
| contents | <div>Preprint submitted to Medical Image Analysis</div> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18054379 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Human-like few-shot and one-shot learning of the electrocardiograms: an empirical study investigating the use of a pseudo-coloring technique to improve and explain machine vision predictions of long QT syndrome Alahmadi, Alaa <div>Preprint submitted to Medical Image Analysis</div> |
| title | Human-like few-shot and one-shot learning of the electrocardiograms: an empirical study investigating the use of a pseudo-coloring technique to improve and explain machine vision predictions of long QT syndrome |
| url | https://doi.org/10.5281/zenodo.18054379 |