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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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| Pubblicato in: | BMC Bioinformatics |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2013
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4225570/ https://ncbi.nlm.nih.gov/pubmed/24255945 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-14-333 |
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