Automatic diagnosis of melanoma using machine learning methods on a spectroscopic system

BACKGROUND: Early and accurate diagnosis of melanoma, the deadliest type of skin cancer, has the potential to reduce morbidity and mortality rate. However, early diagnosis of melanoma is not trivial even for experienced dermatologists, as it needs sampling and laboratory tests which can be extremely...

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Detalles Bibliográficos
Autores principales: Li, Lin, Zhang, Qizhi, Ding, Yihua, Jiang, Huabei, Thiers, Bruce H, Wang, James Z
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4204387/
https://www.ncbi.nlm.nih.gov/pubmed/25311811
http://dx.doi.org/10.1186/1471-2342-14-36

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4204387/
https://www.ncbi.nlm.nih.gov/pubmed/25311811
http://dx.doi.org/10.1186/1471-2342-14-36

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