Evaluation of Melanoma Thickness with Clinical Close-up and Dermoscopic Images Using a Convolutional Neural Network
Convolutional neural networks (CNNs) have shown promise in discriminating between invasive and in situ melanomas. The aim of this study was to analyse how a CNN model, integrating both clinical close-up and dermoscopic images, performed compared with 6 independent dermatologists. The secondary aim w...
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| Автори: | , , , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Medical Journals Sweden
2022-10-01
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| Серія: | Acta Dermato-Venereologica |
| Предмети: | |
| Онлайн доступ: | https://medicaljournalssweden.se/actadv/article/view/2681 |
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