A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentation

Abstract While deep learning has catalyzed breakthroughs across numerous domains, its broader adoption in clinical settings is inhibited by the costly and time-intensive nature of data acquisition and annotation. To further facilitate medical machine learning, we present an ultrasound dataset of 10,...

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主要な著者:	Avisha Kumar, Kunal Kotkar, Kelly Jiang, Meghana Bhimreddy, Daniel Davidar, Carly Weber-Levine, Siddharth Krishnan, Max J. Kerensky, Ruixing Liang, Kelley K. Leadingham, Denis Routkevitch, Andrew M. Hersh, Kimberly Ashayeri, Betty Tyler, Ian Suk, Jennifer Son, Nicholas Theodore, Nitish Thakor, Amir Manbachi
フォーマット:	Artigo
言語:	Inglês
出版事項:	Nature Portfolio 2025-09-01
シリーズ:	Scientific Reports
主題:	Object detection Semantic segmentation Medical dataset Ultrasound Spinal cord injury
オンライン･アクセス:	https://doi.org/10.1038/s41598-025-16275-z
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