Cargando…
Analysis of Collective Human Intelligence for Diagnosis of Pigmented Skin Lesions Harnessed by Gamification Via a Web-Based Training Platform: Simulation Reader Study
BACKGROUND: The diagnosis of pigmented skin lesion is error prone and requires domain-specific expertise, which is not readily available in many parts of the world. Collective intelligence could potentially decrease the error rates of nonexperts. OBJECTIVE: The aim of this study was to evaluate the...
Autores principales: | Rinner, Christoph, Kittler, Harald, Rosendahl, Cliff, Tschandl, Philipp |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7007585/ https://www.ncbi.nlm.nih.gov/pubmed/32012058 http://dx.doi.org/10.2196/15597 |
Ejemplares similares
-
The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
por: Tschandl, Philipp, et al.
Publicado: (2018) -
Accuracy of the first step of the dermatoscopic 2-step algorithm for pigmented skin lesions
por: Tschandl, Philipp, et al.
Publicado: (2012) -
Prediction without Pigment: a decision algorithm for non-pigmented skin malignancy
por: Rosendahl, Cliff, et al.
Publicado: (2014) -
Differentiation of pigmented Spitz nevi and Reed nevi by integration of dermatopathologic and dermatoscopic findings
por: Bär, Michael, et al.
Publicado: (2012) -
Perilesional sun damage as a diagnostic clue for pigmented actinic keratosis and Bowen’s disease
por: Weber, P., et al.
Publicado: (2021)