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cit-research/Lung-Ultrasound-A-B-lines-classification: LungUS-AB-v1.0.0

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Zenodo2026-02-20 更新2026-05-26 收录
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This release accompanies our paper on using deep learning and augmentation techniques to detect A-lines and B-lines in lung ultrasound (LUS) images. The provided code enables binary frame-level classification with ResNet and Inception architectures, optimized for sparse, real-world clinical data. Please cite as: Hliboký M, Magyar J, Szabóová M, Malík M, Števík M, Vetešková Š, Zeleňák K, Vranay D, Bundzel M, Paralič J, Babič F, Gešvandtner Trabalková Z, Dzian A. 2026. Benchmarking augmentation to enhance A-line and B-line classification with sparse data. PeerJ Computer Science 12:e3436 https://doi.org/10.7717/peerj-cs.3436

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2025-06-03
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