Introducing a secondary segmentation to construct a radiomics model for pulmonary tuberculosis cavities

PURPOSE: Accurate segmentation (separating diseased portions of the lung from normal appearing lung) is a challenge in radiomic studies of non-neoplastic diseases, such as pulmonary tuberculosis (PTB). In this study, we developed a segmentation method, applicable to chest X-rays (CXR), that can elim...

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Detalles Bibliográficos
Autores principales: du Plessis, Tamarisk, Ramkilawon, Gopika, Rae, William Ian Duncombe, Botha, Tanita, Martinson, Neil Alexander, Dixon, Sarah Alice Parry, Kyme, Andre, Sathekge, Mike Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2023
Materias:
Chest Radiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474191/
https://www.ncbi.nlm.nih.gov/pubmed/37474665
http://dx.doi.org/10.1007/s11547-023-01681-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474191/
https://www.ncbi.nlm.nih.gov/pubmed/37474665
http://dx.doi.org/10.1007/s11547-023-01681-y

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