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...
| Publicado en: | BioMedical Engineering OnLine Vol. 19; no. 1; pp. 1 - 21 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
BioMed Central
6/17/2020
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| Acceso en línea: | Ver este registro en EBSCOhost |