Pulmonary Lesion Classification Framework Using the Weighted Ensemble Classification with Random Forest and CNN Models for EBUS Images

Lung cancer is a deadly disease with a high mortality rate. Endobronchial ultrasonography (EBUS) is one of the methods for detecting pulmonary lesions. Computer-aided diagnosis of pulmonary lesions from images can help radiologists to classify lesions; however, most of the existing methods need a la...

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Detalles Bibliográficos
Autores principales: Khomkham, Banphatree, Lipikorn, Rajalida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319293/
https://www.ncbi.nlm.nih.gov/pubmed/35885458
http://dx.doi.org/10.3390/diagnostics12071552

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319293/
https://www.ncbi.nlm.nih.gov/pubmed/35885458
http://dx.doi.org/10.3390/diagnostics12071552

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