Precise Segmentation of COVID-19 Infected Lung from CT Images Based on Adaptive First-Order Appearance Model with Morphological/Anatomical Constraints

A new segmentation technique is introduced for delineating the lung region in 3D computed tomography (CT) images. To accurately model the distribution of Hounsfield scale values within both chest and lung regions, a new probabilistic model is developed that depends on a linear combination of Gaussia...

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Detalles Bibliográficos
Autores principales: Sharafeldeen, Ahmed, Elsharkawy, Mohamed, Alghamdi, Norah Saleh, Soliman, Ahmed, El-Baz, Ayman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399192/
https://www.ncbi.nlm.nih.gov/pubmed/34450923
http://dx.doi.org/10.3390/s21165482

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399192/
https://www.ncbi.nlm.nih.gov/pubmed/34450923
http://dx.doi.org/10.3390/s21165482

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