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...

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Publicado en:	Cancers Vol. 15; no. 4; pp. 1259 - 1283
Autores principales:	Nambisan, Anand K., Maurya, Akanksha, Lama, Norsang, Phan, Thanh, Patel, Gehana, Miller, Keith, Lama, Binita, Hagerty, Jason, Stanley, Ronald, Stoecker, William V.
Formato:	equations & formulas pictorial research tables/charts Journal Article
Publicado:	MDPI Feb2023
Acceso en línea:	Ver este registro en EBSCOhost