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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Główni autorzy:	Sivaramakrishnan Rajaraman, Les R. Folio, Jane Dimperio, Philip O. Alderson, Sameer K. Antani
Format:	Artigo
Język:	Inglês
Wydane:	MDPI AG 2021-03-01
Seria:	Diagnostics
Hasła przedmiotowe:	deep learning tuberculosis convolutional neural networks segmentation modality-specific knowledge transfer U-Net
Dostęp online:	https://www.mdpi.com/2075-4418/11/4/616
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