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Bone in ultrasound (BonUS): a systematic evaluation of bone segmentation methods on a multi-institution dataset. By downloading, accessing, or using this Bone in Ultrasound (BonUS) dataset (the \"Dataset\"), you (the \"User\") agree to be bound by the terms and conditions of this Data Use Agreement (the \"Agreement\").\n1. Permitted Use\nThe Dataset is provided for non-commercial, academic, and research purposes only. Users are granted a non-exclusive, non-transferable license to use the Dataset for internal research and educational activities.\n2. Restrictions\nNo Commercial Use: The User shall not use the Dataset, or any derivative works thereof, for any commercial purposes, including but not limited to the development of commercial software, diagnostic tools, or the sale of the data.\nNo Redistribution: The User shall not reshare, redistribute, publish, or otherwise make the Dataset available to third parties without express written permission from the original authors.\n3. Mandatory Attribution\nIf the User uses this Dataset in any formal research, publication, or presentation, the User must cite the following original publication:\nPandey PU, Hedari M, Hacihaliloglu I, Dardenne G, et al. Bone in ultrasound (BonUS): a systematic evaluation of bone segmentation methods on a multi-institution dataset.\n4. Derivative Works and AI Models\nDerivatives: Any data derived from the Dataset (e.g., refined segmentation masks, augmented images) must be used in accordance with the \"No Commercial Use\" and \"No Redistribution\" clauses of this Agreement.\nModel Training: Any machine learning or AI models trained using this Dataset may not be used for commercial purposes or sold without a separate licensing agreement from the authors. Publications involving such models must include the mandatory attribution cited in Section 4.\n5. Test Data and Hidden Labels\nThe Dataset includes a subset of \"Test\" images for which segmentation masks are withheld. These masks remain the private property of the authors. The User agrees not to attempt to circumvent any security measures or solicit these private masks from the authors for unauthorized purposes.\n6. Term and Termination\nThis license is effective until terminated. This license will terminate automatically without notice from the authors if the User fails to comply with any provision of this Agreement. Upon termination, the User must destroy all copies of the Dataset and any derivative works in their possession.\n7. Disclaimer of Warranty & Indemnification\nDisclaimer: The Dataset is provided \"as is\" without warranty of any kind, express or implied. The authors and their respective institutions shall not be liable for any claims, damages, or other liabilities arising from the use of the Dataset.\nIndemnification: The User agrees to indemnify, defend, and hold harmless the authors and their respective institutions from and against any and all claims, liabilities, or damages arising out of the User's use of the Dataset.","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":true},"schema:includedInDataCatalog":"Harvard Dataverse","schema:isPartOf":{"schema:name":"BonUS - Bone in Ultrasound","@id":"https://dataverse.harvard.edu/dataverse/bonus","schema:description":"The datasets contained in this repository are part of the following publication:\n<br>\nPandey PU, Hacihaliloglu I, Dardenne G, et al. Bone in ultrasound (BonUS): a systematic evaluation of bone segmentation methods on a multi-institution dataset.\n<br>\n<br>\nPlease read the data use agreement and terms under each dataset before downloading.\n<br>\n<br>\n------- ADDITIONAL INFORMATION --------\n<br>\nThe image spacing used in each dataset's evaluation is given below\nThis is true for all images in a dataset even if there are some images in each sub-evaluation with different original spacing (e.g. Sub-eval 9 Combined)\n<br>\nSub-evaluation 1 UBC: 0.1 mm<br>\nSub-evaluation 2 Rutgers: 0.12 mm<br>\nSub-evaluation 3 LATIM: 0.12 mm<br>\nSub-evaluation 4 Queen's: 0.188 mm<br>\nSub-evaluation 5 Imfusion: 0.072 mm<br>\nSub-evaluation 6 Erasmus-MC: 0.1 mm<br>\nSub-evaluation 7 UNAM: 0.229361 mm<br>\nSub-evaluation 9 Combined: 0.1 mm<br>\nSub-evaluation 10 LATIM Multi: 0.12 mm<br>\nSub-evaluation 11 Aachen: 0.091 mm<br>","schema:isPartOf":{"schema:name":"Harvard Dataverse","@id":"https://dataverse.harvard.edu/dataverse/harvard","schema:description":"<span><span><span><h3>Share, archive, and get credit for your data. 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