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Classification of hematologic malignancies using texton signatures

We describe a decision support system to distinguish among hematology cases directly from microscopic specimens. The system uses an image database containing digitized specimens from normal and four different hematologic malignancies. Initially, the nuclei and cytoplasmic components of the specimens...

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Bibliografiske detaljer
Main Authors: Tuzel, Oncel, Yang, Lin, Meer, Peter, Foran, David J.
Format: Artigo
Sprog:Inglês
Udgivet: 2007
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC2772183/
https://ncbi.nlm.nih.gov/pubmed/19890460
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10044-007-0066-x
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