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Osteoarthritis Initiative (OAI) - UQ

The University of Queensland
Associate Professor Craig Engstrom (Aggregated by) Associate Professor Craig Engstrom (Aggregated by) Dr Shakes Chandra (Aggregated by) Dr Shakes Chandra (Aggregated by) Emeritus Professor Stuart Crozier (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/d8e13fb&rft.title=Osteoarthritis Initiative (OAI) - UQ&rft.identifier=10.48610/d8e13fb&rft.publisher=The University of Queensland&rft.description=Contains the manual segmentations and the cross-validation data splits used in Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative [1]. Note that this work also used the OAI ZIB dataset from https://pubdata.zib.de/.&rft.creator=Associate Professor Craig Engstrom&rft.creator=Associate Professor Craig Engstrom&rft.creator=Dr Shakes Chandra&rft.creator=Dr Shakes Chandra&rft.creator=Emeritus Professor Stuart Crozier&rft.creator=Emeritus Professor Stuart Crozier&rft.creator=Ms Boyeong Woo&rft.date=2022&rft_rights=2022, The University of Queensland&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=Image and video processing&rft_subject=Computer vision and pattern recognition&rft_subject=Machine learning&rft_subject=Anomaly detection&rft_subject=segmentation&rft_subject=U-Net&rft_subject=Knee osteoarthritis&rft_subject=Biomedical imaging&rft_subject=Biomedical engineering&rft_subject=ENGINEERING&rft_subject=Artificial intelligence&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=Image Processing&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING&rft_subject=Image processing&rft_subject=Computer vision and multimedia computation&rft.type=dataset&rft.language=English Access the data
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shekhar.chandra@uq.edu.au

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Contains the manual segmentations and the cross-validation data splits used in "Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative" [1]. Note that this work also used the OAI ZIB dataset from https://pubdata.zib.de/.

Issued: 22 12 2022

Data time period: 2022 to 12 12 2022

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Subjects
Artificial Intelligence and Image Processing | Anomaly detection | Artificial Intelligence | Biomedical Engineering | Biomedical Imaging | Computer Vision and Multimedia Computation | Computer vision and pattern recognition | Engineering | Information and Computing Sciences | Information and Computing Sciences | Image Processing | Image and video processing | Image Processing | Knee osteoarthritis | Machine learning | U-Net | eng | segmentation |

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local : UQ:289097

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