Using Multiple Dermoscopic Photographs of One Lesion Improves Melanoma Classification via Deep Learning: A Prognostic Diagnostic Accuracy Study.
Achim HeklerRoman C. MaronSarah HaggenmüllerMax SchmittChristoph WiesJochen S. UtikalFriedegund MeierSarah HobelsbergerFrank Friedrich GellrichMildred SergonAxel HauschildLars E. FrenchLucie HeinzerlingJustin G. SchlagerKamran GhoreschiMax SchlaakFranz J. HilkeGabriela PochSören KorsingCarola BerkingMarkus V. HepptMichael ErdmannSebastian HaferkampKonstantin DrexlerDirk SchadendorfWiebke SondermannMatthias GoebelerBastian SchillingJakob Nikolas KatherEva Krieghoff-HenningTitus J. BrinkerPublished in: CoRR (2023)
Keyphrases
- pigmented skin lesions
- deep learning
- skin lesion
- computer aided diagnosis systems
- unsupervised learning
- early diagnosis
- machine learning
- dermoscopy images
- decision trees
- model selection
- feature space
- pattern recognition
- skin cancer
- high dimensional
- support vector machine
- co occurrence
- computer aided
- restricted boltzmann machine
- decision making