Melanoma classification using light-Fields with morlet scattering transform and CNN: Surface depth as a valuable tool to increase detection rate

•Skin lesion classification using light-field data•Melanoma discrimination using Scattering Wavelet Transform features•CNN model using residual blocks on limited data•Comparison between colour (2D) and depth (3D) in skin cancer classification•High sensitivity results for melanoma discrimination [Dis...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Medical image analysis 2022-01, Vol.75, p.102254-102254, Article 102254
Hauptverfasser:	Pereira, Pedro M. M., Thomaz, Lucas A., Tavora, Luis M. N., Assuncao, Pedro A. A., Fonseca-Pinto, Rui M., Paiva, Rui Pedro, Faria, Sergio M. M. de
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Color imagery Dermoscopy Humans Image classification Lesions Light-fields Medical imaging Melanoma Melanoma - diagnostic imaging Nevus Scattering Sensitivity Skin diseases Skin lesion Skin lesions Skin Neoplasms - diagnostic imaging Two dimensional models Wavelet scattering
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!