Improved Semantic Segmentation of Tuberculosis—Consistent Findings in Chest X-rays Using Augmented Training of Modality-Specific U-Net Models with Weak Localizations

Deep learning (DL) has drawn tremendous attention for object localization and recognition in both natural and medical images. U-Net segmentation models have demonstrated superior performance compared to conventional hand-crafted feature-based methods. Medical image modality-specific DL models are be...

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Detalles Bibliográficos
Autores principales: Rajaraman, Sivaramakrishnan, Folio, Les R., Dimperio, Jane, Alderson, Philip O., Antani, Sameer K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065621/
https://www.ncbi.nlm.nih.gov/pubmed/33808240
http://dx.doi.org/10.3390/diagnostics11040616

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065621/
https://www.ncbi.nlm.nih.gov/pubmed/33808240
http://dx.doi.org/10.3390/diagnostics11040616

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