Dual-Masked Autoencoders: Application to Multi-labeled Pediatric Thoracic Diseases

Pediatric thoracic diseases present significant health risks to children. While chest X-rays are commonly used for diagnosing thoracic diseases, interpreting pediatric images comes with unique challenges such as anatomical variations, developmental differences, and potential artifacts. Deep learning...

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Veröffentlicht in:	IEEE access Jg. 12; S. 1
Hauptverfasser:	Yoon, Taeyoung, Kang, Daesung
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.01.2024
Schlagworte:	Accuracy Adult chest X-rays Biomedical imaging Deep learning Diseases dual-masked autoencoders Image reconstruction masked autoencoders pediatric chest X-rays pediatric thoracic diseases Pneumonia X-ray imaging
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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