Datasets and challenges summary of the others¶
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 |
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 |
2020 |
MRI |
bone imaging |
1 |
|||
275 |
2020 |
CT |
vertebra |
S |
|||
276 |
2019 |
CT |
vertebra |
S |
|||
277 |
2019 |
CT |
pelvic images |
2 |
|||
278 |
2019 |
X-Ray |
spinal curvature |
3 |
|||
279 |
2018 |
MRI |
knee |
C |
|||
280 |
2018 |
X-Ray (Digital) |
abnormality in musculoskeletal |
A |
|||
281 |
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 |
2014 |
X-Ray |
bone crisps |
C |
|||
284 |
2014 |
X-Ray (Digital) |
spine |
S |
|||
285 |
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 |
2020 |
RGB |
diabetic foot ulcer detection |
|
287 |
2020 |
RGB |
melanoma classification |
|
288 |
2019 |
RGB |
classification of 9 diseases |
|
289 |
2018 |
RGB |
lesion segmentation and attribution classification of Melanoma and disease classification |
|
290 |
2017 |
RGB |
lesion segmentation and attribution classification of Melanoma and disease classification |
|
291 |
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 |
2018 |
CT |
feature variability assessment with phantom |
|
295 |
2017 |
CT |
phantom research |
|
296 |
PET segmentation challenge using a data management and processing infrastructure |
2016 |
PET, CT |
phantom registration and research |
297 |
2015 |
DWI |
fiber imaging from phantom |
|
298 |
2015 |
PET, CT |
phantom research & registration |
|
299 |
2020 |
MRI (T2w) |
mouse brain segmentation |
|
300 |
Stereo Correspondence and Reconstruction of Endoscopic Data Sub-Challengee |
2019 |
endoscopic |
depth estimation from endoscopic data |
301 |
2019 |
MRI (T2w) |
mouse lemur brain image segmentation |
|
302 |
2018 |
CT, MR, etc. |
Glioblastoma Multiforme |
|
303 |
2016 |
(microscopy) |
animal neuro reconstruction |
|
304 |
2020 |
CT |
Apple reconstruction and segmentation |
|
305 |
2020 |
MRI, CT, etc. |
quantification of uncertainties in biomedical image quantification |
|
306 |
2020 |
anomalous diffusion |
||
307 |
2020 |
CT |
dose distributions predictions |
|
308 |
2020 |
MRI, CT, etc. |
image registration |
|
309 |
2013 |
EM |
segmentation of neurites |
|
310 |
2012 |
EM |
segmentation of neuronal structures |