Detecting Tuberculosis-Consistent Findings in Lateral Chest X-Rays Using an Ensemble of CNNs and Vision Transformers

Research on detecting Tuberculosis (TB) findings on chest radiographs (or Chest X-rays: CXR) using convolutional neural networks (CNNs) has demonstrated superior performance due to the emergence of publicly available, large-scale datasets with expert annotations and availability of scalable computat...

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Detalles Bibliográficos
Autores principales: Rajaraman, Sivaramakrishnan, Zamzmi, Ghada, Folio, Les R., Antani, Sameer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907925/
https://www.ncbi.nlm.nih.gov/pubmed/35281798
http://dx.doi.org/10.3389/fgene.2022.864724

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907925/
https://www.ncbi.nlm.nih.gov/pubmed/35281798
http://dx.doi.org/10.3389/fgene.2022.864724

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