Similarity maps and hierarchical clustering for annotating FT-IR spectral images

BACKGROUND: Unsupervised segmentation of multi-spectral images plays an important role in annotating infrared microscopic images and is an essential step in label-free spectral histopathology. In this context, diverse clustering approaches have been utilized and evaluated in order to achieve segment...

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Detalles Bibliográficos
Autores principales: Zhong, Qiaoyong, Yang, Chen, Großerüschkamp, Frederik, Kallenbach-Thieltges, Angela, Serocka, Peter, Gerwert, Klaus, Mosig, Axel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4225570/
https://www.ncbi.nlm.nih.gov/pubmed/24255945
http://dx.doi.org/10.1186/1471-2105-14-333

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4225570/
https://www.ncbi.nlm.nih.gov/pubmed/24255945
http://dx.doi.org/10.1186/1471-2105-14-333

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