A Systematic Evaluation of Ensemble Learning Methods for Fine-Grained Semantic Segmentation of Tuberculosis-Consistent Lesions in Chest Radiographs

Automated segmentation of tuberculosis (TB)-consistent lesions in chest X-rays (CXRs) using deep learning (DL) methods can help reduce radiologist effort, supplement clinical decision-making, and potentially result in improved patient treatment. The majority of works in the literature discuss traini...

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Detalles Bibliográficos
Autores principales: Rajaraman, Sivaramakrishnan, Yang, Feng, Zamzmi, Ghada, Xue, Zhiyun, Antani, Sameer K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9495849/
https://www.ncbi.nlm.nih.gov/pubmed/36134959
http://dx.doi.org/10.3390/bioengineering9090413

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9495849/
https://www.ncbi.nlm.nih.gov/pubmed/36134959
http://dx.doi.org/10.3390/bioengineering9090413

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