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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| Main Authors: | , , , , , , , , |
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| Format: | Book |
| Published: |
Medical Journals Sweden,
2022-10-01T00:00:00Z.
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| Subjects: | |
| Online Access: | Connect to this object online. |
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