Conditional Random Fields and Supervised Learning in Automated Skin Lesion Diagnosis

Many subproblems in automated skin lesion diagnosis (ASLD) can be unified under a single generalization of assigning a label, from an predefined set, to each pixel in an image. We first formalize this generalization and then present two probabilistic models capable of solving it. The first model is...

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Detalles Bibliográficos
Autores principales: Wighton, Paul, Lee, Tim K., Mori, Greg, Lui, Harvey, McLean, David I., Atkins, M. Stella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3199211/
https://www.ncbi.nlm.nih.gov/pubmed/22046177
http://dx.doi.org/10.1155/2011/846312

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3199211/
https://www.ncbi.nlm.nih.gov/pubmed/22046177
http://dx.doi.org/10.1155/2011/846312

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