Improving Automatic Melanoma Diagnosis Using Deep Learning-Based Segmentation of Irregular Networks.
Simple Summary: Supervised deep learning techniques can now automatically process whole dermoscopic images and obtain a diagnostic accuracy for melanoma that exceeds that of specialists. These automatic diagnosis systems are now appearing in clinics. However, the computational techniques used cannot...
| Publicado en: | Cancers Vol. 15; no. 4; pp. 1259 - 1283 |
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| Autores principales: | , , , , , , , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
MDPI
Feb2023
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| Acceso en línea: | Ver este registro en EBSCOhost |