Skin lesion feature vectors classification in models of a Riemannian manifold

DOI10.1007/s10472-014-9424-8zbMath1321.62074OpenAlexW2015090530WikidataQ115384387 ScholiaQ115384387MaRDI QIDQ499728

Ye-Lin Ou, Nikolay Metodiev Sirakov, Mutlu Mete

Publication date: 6 October 2015

Published in: Annals of Mathematics and Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10472-014-9424-8

zbMATH Keywords

classificationRiemannian manifoldsupport vector machinesfeature vectorsintervals of confidence

Mathematics Subject Classification ID

Searching and sorting (68P10) Image analysis in multivariate analysis (62H35) Computing methodologies for image processing (68U10)

Related Items (1)

Clifford algebra multivectors and kernels for melanoma classification

Uses Software

• LIBSVM

Cites Work

• Skin Lesion Feature Vector Space with a Metric to Model Geometric Structures of Malignancy for Classification
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