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Connecting Markov random fields and active contour models: application to gland segmentation and classification
We introduce a Markov random field (MRF)-driven region-based active contour model (MaRACel) for histological image segmentation. This Bayesian segmentation method combines a region-based active contour (RAC) with an MRF. State-of-the-art RAC models assume that every spatial location in the image is...
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| Pubblicato in: | J Med Imaging (Bellingham) |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Society of Photo-Optical Instrumentation Engineers
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5369422/ https://ncbi.nlm.nih.gov/pubmed/28382316 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.4.2.021107 |
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