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Segmentation of small ground glass opacity pulmonary nodules based on Markov random field energy and Bayesian probability difference
BACKGROUND: Image segmentation is an important part of computer-aided diagnosis (CAD), the segmentation of small ground glass opacity (GGO) pulmonary nodules is beneficial for the early detection of lung cancer. For the segmentation of small GGO pulmonary nodules, an integrated active contour model...
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| Publicat a: | Biomed Eng Online |
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| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7302391/ https://ncbi.nlm.nih.gov/pubmed/32552724 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12938-020-00793-0 |
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