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Automated glioma detection and segmentation using graphical models
Glioma detection and segmentation is a challenging task for radiologists and clinicians. The research reported in this paper seeks to develop a better clinical decision support algorithm for clinicians diagnosis. This paper presents a probabilistic method for detection and segmentation between abnor...
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| Pubblicato in: | PLoS One |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6103499/ https://ncbi.nlm.nih.gov/pubmed/30130371 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0200745 |
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