Datasets and challenges summary of the others
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.. figure:: figures/other.png
:alt: Other
Other
Datasets and challenges summary of bone-concerned tasks.
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Tasks include classification (**C**), segmentation (**S**), detection (**D**), location (**L**), characterization (**A**), imaging (**1**), registration (**2**), and curvature estimation (**3**).
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| **Index** | **Name** | **Year** | **Modality** | **Focus** | **Task** |
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| 272 | `KNee OsteoArthritis Prediction Challenge (KNOAP2020) `_ | 2020 | MRI, X-Ray | knee osteoArthritis | C | | |
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| 273 | `MICCAI 2020 RibFrac Challenge: Rib Fracture Detection and Classification `_ | 2020 | CT | rib fracture detection and classification | C | | D |
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| 274 | `Spinal Cord MRI Public Database `_ | 2020 | MRI | bone imaging | | | 1 |
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| 275 | `VerSe-20: Large Scale Vertebrae Segmentation Challenge `_ | 2020 | CT | vertebra | | S | |
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| 276 | `VerSe-19: Large Scale Vertebrae Segmentation Challenge `_ | 2019 | CT | vertebra | | S | |
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| 277 | `Pelvic Reference Data `_ | 2019 | CT | pelvic images | | | 2 |
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| 278 | `Accurate Automated Spinal Curvature Estimation `_ | 2019 | X-Ray | spinal curvature | | | 3 |
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| 279 | `MRNet Dataset `_ | 2018 | MRI | knee | C | | |
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| 280 | `MURA `_ | 2018 | X-Ray (Digital) | abnormality in musculoskeletal | | | A |
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| 281 | `xVertSeg Challenge `_ | 2016 | X-Ray (Digital) | fractured vertebrae | C | S | |
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| 282 | `Computational Methods & Clinical Applications for Spine Imaging `_ | 2016 | X-Ray | intervertebral disc and vertebral fracture | C | S | L |
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| 283 | `Bone Texture Characterization `_ | 2014 | X-Ray | bone crisps | C | | |
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| 284 | `Spine and Vertebra Segmentation Challenge `_ | 2014 | X-Ray (Digital) | spine | | S | |
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| 285 | `SKI 10 `_ | 2010 | MRI | cartilage and bone in knee | | S | |
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Datasets and challenges summary of skin-, phantom-, and animal-concerned tasks.
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| **Index** | **Name** | **Year** | **Modality** | **Focus** |
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| 286 | `Diabetic Foot Ulcer Challenge 2020 `_ | 2020 | RGB | diabetic foot ulcer detection |
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| 287 | `SIIM-ISIC Melanoma Classification `_ | 2020 | RGB | melanoma classification |
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| 288 | `ISIC 2019 Skin Lesion Analysis Towards Melanoma Detection `_ | 2019 | RGB | classification of 9 diseases |
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| 289 | `ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection `_ | 2018 | RGB | lesion segmentation and attribution classification of Melanoma and disease classification |
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| 290 | `ISIC 2017 `_ | 2017 | RGB | lesion segmentation and attribution classification of Melanoma and disease classification |
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| 291 | `The MArkerless Lung Target Tracking CHallenge (MATCH) `_ | 2020 | CT | tumor tracking in markerless lung |
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| 292 | `Synthetic and Phantom MR Images for Determining Deformable Image Registration Accuracy (MRI-DIR) `_ | 2018 | MRI, CT | multi-modality registration with phantom |
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| 293 | `CT Phantom Scans for Head, Chest, and Controlled Protocols on 100 Scanners (CC-Radiomics-Phantom-3) `_ | 2018 | CT | phantom in different machine |
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| 294 | `Credence Cartridge Radiomics Phantom CT Scans with Controlled Scanning Approach (CC-Radiomics-Phantom-2) `_ | 2018 | CT | feature variability assessment with phantom |
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| 295 | `Credence Cartridge Radiomics Phantom CT Scans `_ | 2017 | CT | phantom research |
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| 296 | `PET segmentation challenge using a data management and processing infrastructure `_ | 2016 | PET, CT | phantom registration and research |
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| 297 | `ISMRM 2015 Tractography challenge `_ | 2015 | DWI | fiber imaging from phantom |
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| 298 | `RIDER Phantom PET-CT `_ | 2015 | PET, CT | phantom research & registration |
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| 299 | `Mouse\_awake\_rest `_ | 2020 | MRI (T2w) | mouse brain segmentation |
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| 300 | `Stereo Correspondence and Reconstruction of Endoscopic Data Sub-Challengee `_ | 2019 | endoscopic | depth estimation from endoscopic data |
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| 301 | `MouseLemurAtlas\_MRIraw `_ | 2019 | MRI (T2w) | mouse lemur brain image segmentation |
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| 302 | `CPTAC-GBM `_ | 2018 | CT, MR, etc. | Glioblastoma Multiforme |
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| 303 | `BigNeuron `_ | 2016 | (microscopy) | animal neuro reconstruction |
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| 304 | `Apples-CT `_ | 2020 | CT | Apple reconstruction and segmentation |
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| 305 | `QUBIQ `_ | 2020 | MRI, CT, etc. | quantification of uncertainties in biomedical image quantification |
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| 306 | `AnDi: The anomalous diffusion challenge `_ | 2020 | | anomalous diffusion |
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| 307 | `The Open Knowledge-Based Planning Challenge `_ | 2020 | CT | dose distributions predictions |
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| 308 | `Learn2Reg: 2020 MICCAI Registration Challenge `_ | 2020 | MRI, CT, etc. | image registration |
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| 309 | `3D Segmentation of Neurites in EM Images `_ | 2013 | EM | segmentation of neurites |
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| 310 | `Segmentation of neuronal structures in EM stacks `_ | 2012 | EM | segmentation of neuronal structures |
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