Datasets and challenges summary of the others

Other

Other

Datasets and challenges summary of bone-concerned tasks.

Tasks include classification (C), segmentation (S), detection (D), location (L), characterization (A), imaging (1), registration (2), and curvature estimation (3).

Index

Name

Year

Modality

Focus

Task

272

KNee OsteoArthritis Prediction Challenge (KNOAP2020)

2020

MRI, X-Ray

knee osteoArthritis

C

273

MICCAI 2020 RibFrac Challenge: Rib Fracture Detection and Classification

2020

CT

rib fracture detection and classification

C

D

274

Spinal Cord MRI Public Database

2020

MRI

bone imaging

1

275

VerSe-20: Large Scale Vertebrae Segmentation Challenge

2020

CT

vertebra

S

276

VerSe-19: Large Scale Vertebrae Segmentation Challenge

2019

CT

vertebra

S

277

Pelvic Reference Data

2019

CT

pelvic images

2

278

Accurate Automated Spinal Curvature Estimation

2019

X-Ray

spinal curvature

3

279

MRNet Dataset

2018

MRI

knee

C

280

MURA

2018

X-Ray (Digital)

abnormality in musculoskeletal

A

281

xVertSeg Challenge

2016

X-Ray (Digital)

fractured vertebrae

C

S

282

Computational Methods & Clinical Applications for Spine Imaging

2016

X-Ray

intervertebral disc and vertebral fracture

C

S

L

283

Bone Texture Characterization

2014

X-Ray

bone crisps

C

284

Spine and Vertebra Segmentation Challenge

2014

X-Ray (Digital)

spine

S

285

SKI 10

2010

MRI

cartilage and bone in knee

S

Datasets and challenges summary of skin-, phantom-, and animal-concerned tasks.

Index

Name

Year

Modality

Focus

286

Diabetic Foot Ulcer Challenge 2020

2020

RGB

diabetic foot ulcer detection

287

SIIM-ISIC Melanoma Classification

2020

RGB

melanoma classification

288

ISIC 2019 Skin Lesion Analysis Towards Melanoma Detection

2019

RGB

classification of 9 diseases

289

ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection

2018

RGB

lesion segmentation and attribution classification of Melanoma and disease classification

290

ISIC 2017

2017

RGB

lesion segmentation and attribution classification of Melanoma and disease classification

291

The MArkerless Lung Target Tracking CHallenge (MATCH)

2020

CT

tumor tracking in markerless lung

292

Synthetic and Phantom MR Images for Determining Deformable Image Registration Accuracy (MRI-DIR)

2018

MRI, CT

multi-modality registration with phantom

293

CT Phantom Scans for Head, Chest, and Controlled Protocols on 100 Scanners (CC-Radiomics-Phantom-3)

2018

CT

phantom in different machine

294

Credence Cartridge Radiomics Phantom CT Scans with Controlled Scanning Approach (CC-Radiomics-Phantom-2)

2018

CT

feature variability assessment with phantom

295

Credence Cartridge Radiomics Phantom CT Scans

2017

CT

phantom research

296

PET segmentation challenge using a data management and processing infrastructure

2016

PET, CT

phantom registration and research

297

ISMRM 2015 Tractography challenge

2015

DWI

fiber imaging from phantom

298

RIDER Phantom PET-CT

2015

PET, CT

phantom research & registration

299

Mouse_awake_rest

2020

MRI (T2w)

mouse brain segmentation

300

Stereo Correspondence and Reconstruction of Endoscopic Data Sub-Challengee

2019

endoscopic

depth estimation from endoscopic data

301

MouseLemurAtlas_MRIraw

2019

MRI (T2w)

mouse lemur brain image segmentation

302

CPTAC-GBM

2018

CT, MR, etc.

Glioblastoma Multiforme

303

BigNeuron

2016

(microscopy)

animal neuro reconstruction

304

Apples-CT

2020

CT

Apple reconstruction and segmentation

305

QUBIQ

2020

MRI, CT, etc.

quantification of uncertainties in biomedical image quantification

306

AnDi: The anomalous diffusion challenge

2020

anomalous diffusion

307

The Open Knowledge-Based Planning Challenge

2020

CT

dose distributions predictions

308

Learn2Reg: 2020 MICCAI Registration Challenge

2020

MRI, CT, etc.

image registration

309

3D Segmentation of Neurites in EM Images

2013

EM

segmentation of neurites

310

Segmentation of neuronal structures in EM stacks

2012

EM

segmentation of neuronal structures