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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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| Foilsithe in: | Diagnostics (Basel) |
|---|---|
| Main Authors: | , , , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
MDPI
2021
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8065621/ https://ncbi.nlm.nih.gov/pubmed/33808240 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/diagnostics11040616 |
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