Enhanced U-Net Architecture for Glottis Segmentation with VGG-16
Laryngeal endoscopic image analysis with segmentation techniques has great potential in detecting various diseases in the glottic area, which is essential for early diagnosis and proper treatment. This study proposes developing the U-Net architecture by integrating the VGG-16 model, aiming to improv...
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| Glavni autori: | , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Society of Visual Informatics
2024-12-01
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| Serija: | JOIV: International Journal on Informatics Visualization |
| Teme: | |
| Online pristup: | https://joiv.org/index.php/joiv/article/view/3088 |
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