Deep semantic segmentation for skin cancer detection from hyperspectral images
As skin cancer types are a growing concern worldwide, a new screening tool combined with automation may help the clinicians in clinical examinations of lesions. A novel hyperspectral imager prototype has been noted to be a promising non-invasive tool in screening of lesions. Deep learning, especiall...
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| Muut tekijät: | , , , , , |
| Aineistotyyppi: | Pro gradu |
| Kieli: | eng |
| Julkaistu: |
2020
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| Aiheet: | |
| Linkit: | https://jyx.jyu.fi/handle/123456789/73001 |