Deep Learning Techniques for the Dermoscopic Differential Diagnosis of Benign/Malignant Melanocytic Skin Lesions: From the Past to the Present

There has been growing scientific interest in the research field of deep learning techniques applied to skin cancer diagnosis in the last decade. Though encouraging data have been globally reported, several discrepancies have been observed in terms of study methodology, result presentations and vali...

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Bibliographic Details
Published in:	Bioengineering (Basel) Vol. 11; no. 8; p. 758
Main Authors:	Tognetti, Linda, Miracapillo, Chiara, Leonardelli, Simone, Luschi, Alessio, Iadanza, Ernesto, Cevenini, Gabriele, Rubegni, Pietro, Cartocci, Alessandra
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 01.08.2024 MDPI
Subjects:	Accuracy Algorithms Artificial intelligence Artificial neural networks atypical nevi Big Data Computational linguistics Decision support systems Deep learning Diagnosis Differential diagnosis Language processing Machine learning Medical imaging equipment melanocytic skin lesions Melanoma Natural language interfaces Neural networks nevi Observational learning Review Search engines Sensitivity Skin Skin cancer Skin diseases Skin lesions Statistical models algorithms deep learning atypical nevi melanoma nevi convolutional neural networks artificial intelligence diagnostic models melanocytic skin lesions
ISSN:	2306-5354, 2306-5354
Online Access:	Get full text
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