Machine Learning and Deep Learning Algorithms for Skin Cancer Classification from Dermoscopic Images

We carry out a critical assessment of machine learning and deep learning models for the classification of skin tumors. Machine learning (ML) algorithms tested in this work include logistic regression, linear discriminant analysis, k-nearest neighbors classifier, decision tree classifier and Gaussian...

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Veröffentlicht in:	Bioengineering (Basel) Jg. 9; H. 3; S. 97
Hauptverfasser:	Bechelli, Solene, Delhommelle, Jerome
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 27.02.2022 MDPI
Schlagworte:	Accuracy Algorithms Archives & records Artificial neural networks Bayesian analysis Bioengineering Classification Classifiers convolutional neural network Datasets Decision analysis Decision trees Deep learning Discriminant analysis Image classification Learning algorithms Machine learning Melanoma Model accuracy Neural networks Skin cancer Transfer learning Tumors deep learning skin cancer image classification machine learning convolutional neural network
ISSN:	2306-5354, 2306-5354
Online-Zugang:	Volltext
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