Diagnostic Performance of a Support Vector Machine for Dermatofluoroscopic Melanoma Recognition: The Results of the Retrospective Clinical Study on 214 Pigmented Skin Lesions

Diagnostic Performance of a Support Vector Machine for Dermatofluoroscopic Melanoma Recognition: The Results of the Retrospective Clinical Study on 214 Pigmented Skin Lesions

The need for diagnosing malignant melanoma in its earliest stages results in an increasing number of unnecessary excisions. Objective criteria beyond the visual inspection are needed to distinguish between benign and malignant melanocytic tumors in vivo. Fluorescence spectra collected during the pro...

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Bibliographic Details
Main Authors: Łukasz Szyc, Uwe Hillen, Constantin Scharlach, Friederike Kauer, Claus Garbe
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Diagnostics
Subjects:
malignant melanoma
dermatofluoroscopy
support vector machine
machine learning
melanin fluorescence
Online Access:https://www.mdpi.com/2075-4418/9/3/103

Internet

https://www.mdpi.com/2075-4418/9/3/103

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