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  [DeepLesion](https://nihcc.app.box.com/v/DeepLesion) dataset contains 32,735 diverse lesions in 32,120 CT slices from 10,594 studies of 4,427 unique patients. Each lesion has a bounding box annotation on the key slice, which is derived from the longest diameter and longest
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  perpendicular diameter. We annotated 5000 lesions with [MedSAM2](https://github.com/bowang-lab/MedSAM2) in a human-in-the-loop pipeline.
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+
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+ ## Authors
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+
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+ <p align="center">
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+ <a href="https://scholar.google.com.hk/citations?hl=en&user=bW1UV4IAAAAJ&view_op=list_works&sortby=pubdate">Jun Ma</a><sup>* 1,2</sup>,
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+ <a href="https://scholar.google.com/citations?user=8IE0CfwAAAAJ&hl=en">Zongxin Yang</a><sup>* 3</sup>,
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+ Sumin Kim<sup>2,4,5</sup>,
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+ Bihui Chen<sup>2,4,5</sup>,
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+ <a href="https://scholar.google.com.hk/citations?user=U-LgNOwAAAAJ&hl=en&oi=sra">Mohammed Baharoon</a><sup>2,3,5</sup>,<br>
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+ <a href="https://scholar.google.com.hk/citations?user=4qvKTooAAAAJ&hl=en&oi=sra">Adibvafa Fallahpour</a><sup>2,4,5</sup>,
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+ <a href="https://scholar.google.com.hk/citations?user=UlTJ-pAAAAAJ&hl=en&oi=sra">Reza Asakereh</a><sup>4,7</sup>,
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+ Hongwei Lyu<sup>4</sup>,
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+ <a href="https://wanglab.ai/index.html">Bo Wang</a><sup>† 1,2,4,5,6</sup>
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+ </p>
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+
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+ <p align="center">
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+ <sup>*</sup> Equal contribution &nbsp;&nbsp;&nbsp; <sup>†</sup> Corresponding author
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+ </p>
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+
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+ <p align="center">
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+ <sup>1</sup>AI Collaborative Centre, University Health Network, Toronto, Canada<br>
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+ <sup>2</sup>Vector Institute for Artificial Intelligence, Toronto, Canada<br>
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+ <sup>3</sup>Department of Biomedical Informatics, Harvard Medical School, Harvard University, Boston, USA<br>
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+ <sup>4</sup>Peter Munk Cardiac Centre, University Health Network, Toronto, Canada<br>
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+ <sup>5</sup>Department of Computer Science, University of Toronto, Toronto, Canada<br>
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+ <sup>6</sup>Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada<br>
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+ <sup>7</sup>Roche Canada and Genentech
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+ </p>
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+
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+
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+ ## About
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+
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  [DeepLesion](https://nihcc.app.box.com/v/DeepLesion) dataset contains 32,735 diverse lesions in 32,120 CT slices from 10,594 studies of 4,427 unique patients. Each lesion has a bounding box annotation on the key slice, which is derived from the longest diameter and longest
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  perpendicular diameter. We annotated 5000 lesions with [MedSAM2](https://github.com/bowang-lab/MedSAM2) in a human-in-the-loop pipeline.
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