Datasets and challenges summary of the cheset and abdomen¶
Datasets and challenges summary of the chest and abdomen organ segmentation tasks.¶
Index |
Name |
Year |
Modality |
Organ |
---|---|---|---|---|
108 |
Multi-Centre, Multi-Vendor & Multi-Disease Cardiac Image Segmentation Challenge |
2020 |
MRI |
heart |
109 |
2020 |
CCTA |
coronary arteries |
|
110 |
2019 |
CT |
kidney |
|
111 |
2019 |
MRI (T1, T2) |
heart |
|
112 |
CAMUS Cardiac Acquisitions for Multi-structure Ultrasound Segmentation |
2019 |
Ultrasound |
heart |
113 |
2019 |
CT |
lung, bones, liver, kidneys and bladder |
|
114 |
2019 |
CT, MR (T1, T2w) |
liver, kidney, spleen |
|
115 |
2019 |
CT |
heart, aorta, trachea, esophagus |
|
116 |
2019 |
CR, MR |
liver, brain, hippocampus, lung, prostate, cardiac, pancreas, colon, etc. |
|
117 |
2018 |
MRI |
vein |
|
118 |
2018 |
X-ray |
lung |
|
119 |
2018 |
MRI |
heart |
|
120 |
2017 |
CT, RT, RTSTRUCT |
lung, heart, esophagus, spinal cord |
|
121 |
2017 |
CT |
heart, lung, spinal cord, and esophagus |
|
122 |
2017 |
CT |
liver |
|
123 |
2016 |
CT |
pancreas |
|
124 |
2016 |
DCE MRI |
breast |
|
125 |
2016 |
MR |
heart |
|
126 |
2015 |
MR (T1, T2, and DCE) |
prostate |
|
127 |
2015 |
CT |
adrenal glands, aorta, esophagus, gall bladder, kidneys, liver, pancreas, splenic/portal veins, spleen, stomach, vena cava |
|
128 |
2015 |
MR, CT |
kidney, spleen, liver, lung, urinary bladder, rectus abdominis muscle, 1st lumbar vertebra, pancreas, psoas major muscle, gallbladder, sternum, aorta, trachea, adrenal gland |
|
129 |
2015 |
CT |
lymph |
|
130 |
2014 |
Ultrasound |
heart |
|
131 |
2014 |
CT, MRI |
kidney, spleen, liver, lung, urinary bladder, rectus abdominis muscle, 1st lumbar vertebra, pancreas, psoas major muscle, gallbladder, sternum, aorta, trachea, adrenal gland |
|
132 |
2013 |
MR, CT |
heart |
|
133 |
2013 |
MRI (T1, T2, DCE, etc.) |
prostate |
|
134 |
2012 |
MRI |
left atrium fibrosis and scar |
|
135 |
2012 |
CT |
lung vessel |
|
136 |
Chest Radiograph Anatomical Structure Segmentation (CRASS12) |
2012 |
X-ray |
chest structure |
137 |
2012 |
MRI (T2w) |
prostate |
|
138 |
2012 |
MRI (T2w) |
prostate |
|
139 |
2011 |
CT |
lung |
|
140 |
2011 |
MR |
heart |
|
141 |
2011 |
MR |
vessel |
|
142 |
2009 |
MR |
prostate |
|
143 |
2009 |
CT |
lung |
|
144 |
2007 |
CT |
liver |
Datasets and challenges summary of chest and abdomen organs-concerned tasks.¶
Tasks include classification (C), segmentation (S), detection (D), and characterization (A).
Index |
Name |
Year |
Modality |
Focus |
Task |
|||
---|---|---|---|---|---|---|---|---|
145 |
2020 |
CT |
COVID-19 |
C |
||||
146 |
2020 |
CT |
COVID-19 |
C |
||||
147 |
2020 |
CT |
COVID-19 |
C |
D |
|||
148 |
2020 |
CT |
COVID-19 |
C |
||||
149 |
2020 |
CT |
COVID-19 |
C |
||||
150 |
2020 |
Ultrasound |
COVID-19 |
C |
||||
151 |
2020 |
X-Ray |
COVID-19 |
C |
||||
152 |
2020 |
CT |
COVID-19 |
C |
||||
153 |
2020 |
X-Ray |
COVID-19 |
C |
||||
154 |
2020 |
X-Ray |
COVID-19 |
C |
||||
155 |
2020 |
CT |
COVID-19 |
S |
||||
156 |
2020 |
CT |
COVID-19 |
S |
||||
157 |
2020 |
CT |
COVID-19 |
C |
||||
158 |
2020 |
CT, CR, DX |
COVID-19 |
C |
||||
159 |
2020 |
CT, X-Ray, etc. |
COVID-19 |
A |
||||
160 |
Breast Cancer Screening – Digital Breast Tomosynthesis (BCS-DBT) |
2020 |
DBT |
breast cancer |
C |
D |
||
161 |
2020 |
CT, PET |
Lung cancer |
C |
||||
162 |
2020 |
CT |
pulmonary nodule |
D |
A |
|||
163 |
2020 |
Ultrasound |
amniotic fluid detection |
D |
||||
110 |
2019 |
CT |
Kidney tumor |
S |
||||
164 |
2019 |
X-Ray |
Pneumothorax |
C |
S |
|||
165 |
2019 |
4D-CT, MRI, etc. |
ventilation imaging |
S |
||||
166 |
2019 |
X-Ray |
chest |
S |
A |
|||
167 |
2019 |
CT, RTSTRUCT |
non-small cell lung cancer |
S |
||||
168 |
2019 |
CT |
lung cancer & organs-at-risk |
A |
||||
169 |
2019 |
EHR, X-Ray, Report |
unspecific |
C |
||||
170 |
2019 |
X-ray |
chest X-ray |
C |
S |
|||
171 |
2019 |
X-ray |
chest X-ray |
C |
||||
172 |
2018 |
X-Ray |
pneumonia |
D |
||||
173 |
2018 |
CT |
tuberculosis |
D |
||||
174 |
2018 |
CT & Pathology |
pulmonary nodule |
D |
||||
175 |
2017 |
MRI (CMR) |
cardiac diseases |
C |
||||
176 |
2017 |
CT, PT |
non-small cell lung cancer |
S |
||||
177 |
2018 |
T2w, PD-W, DCE, DW |
prostate lesion |
C |
||||
178 |
2018 |
X-Ray |
tuberculosis |
C |
||||
179 |
2018 |
X-Ray |
pneumonia |
C |
||||
122 |
2017 |
CT |
liver tumor |
S |
||||
180 |
2017 |
CT |
lung cancer |
D |
||||
181 |
2017 |
A |
||||||
182 |
2017 |
cervical cancer |
D |
|||||
183 |
2017 |
X-Ray |
lung disease |
D |
A |
|||
184 |
2016 |
T2w, PD-W, DCE, DW |
prostate lesion |
C |
||||
185 |
2016 |
A |
||||||
186 |
2016 |
CT |
pulmonary nodule |
D |
A |
|||
187 |
2016 |
X-Ray / Mammography |
breast cancer |
D |
A |
|||
188 |
2016 |
CT |
low dose CT & liver lesion |
D |
||||
189 |
2015 |
CT |
non–small cell lung cancer |
D |
||||
190 |
2015 |
phantom & pulmonary nodule |
A |
|||||
191 |
2015 |
MRI, etc. |
breast |
A |
||||
192 |
2015 |
FDG-PET, CT, MR, etc。 |
soft tissue sarcoma |
C |
||||
193 |
2014 |
CT |
pulmonary nodule |
D |
A |
|||
194 |
2014 |
CT |
non-small cell lung cancer |
C |
||||
133 |
NCI-ISBI 2013 Challenge: Automated Segmentation of Prostate Structures |
2013 |
MRI |
prostate |
S |
|||
195 |
2013 |
CT & PET |
non-small cell lung cancer |
D |
||||
196 |
2012 |
MRI |
left ventricular myocardial infarction segmentation |
S |
||||
197 |
2011 |
CT, DX, CR |
lung cancer & pulmonary nodule |
D |
||||
198 |
2011 |
CT |
polyp & colonography |
D |
||||
199 |
2011 |
D |
||||||
200 |
2009 |
CT |
pulmonary nodule |
D |
||||
201 |
2009 |
CT |
pulmonary nodule |
S |
||||
202 |
2020 |
Endoscopy |
colon (polyp, cancer), oesophagus (Barrett’s, dysplasia and cancer), and stomach |
S |
D |
|||
203 |
2020 |
Endoscopy |
artefact region |
S |
D |
|||
204 |
2020 |
Endoscopy |
colon (polyp, cancer), oesophagus (Barrett’s, dysplasia and cancer), and stomach |
S |
D |
|||
205 |
SARAS endoscopic vision challenge for surgeon action detection |
2020 |
Endoscopy |
surgeon action detection |
C |
D |
||
206 |
2019 |
Endoscopy |
artefact region |
S |
D |
|||
207 |
2016 |
Endoscopy |
mucosa damage in celiac disease |
C |
||||
208 |
2016 |
Endoscopy |
mucosa in Barrett’s esophagus |
C |
||||
209 |
2016 |
Endoscopy |
mucosa in gastric chromoendoscopy |
C |
Datasets and challenges summary of registration (R), estimation (E), localization (L), Reconstruction (RC), tracking (T), classification (C) and other tasks.¶
Index |
Name |
Year |
Modality |
Task |
Focus |
---|---|---|---|---|---|
210 |
2020 |
Ultrasound |
L |
amniotic fluid localization |
|
211 |
2020 |
Endoscopy |
C |
surgical task classification |
|
212 |
2019 |
RGB |
E |
heart modeling |
|
213 |
2019 |
MRI |
E |
full quantification of cardiac LV |
|
215 |
2017 |
Ultrasound |
T |
heart tracking |
|
214 |
2018 |
MRI |
E |
full quantification of cardiac LV |
|
216 |
2018 |
CT, CTPA |
R |
CT registration with phantom images |
|
217 |
2018 |
Ultrasound |
E |
fetal head circumference |
|
218 |
2016 |
CT, MRI |
E |
Left atrial wall thickness |
|
219 |
Statistical Atlases and Computational Modelling of the Heart - S |
2016 |
CT, MRI |
E |
left atrium wall thickness |
220 |
2017 |
CT, MRI |
R |
multi-modalities heart registration |
|
221 |
2016 |
MRI |
E |
cardiac ejection fraction |
|
222 |
2015 |
Ultrasound |
T |
liver tracking |
|
223 |
2015 |
MRI |
L |
landmark location |
|
224 |
2014 |
Ultrasound |
T |
liver tracking |
|
225 |
2014 |
MRI |
R |
heart motion correction |
|
226 |
Coronary Artery Stenoses Detection and Quantification Evaluation |
2012 |
CTA |
E |
coronary artery stenoses detection and quantification |
227 |
2012 |
Ultrasound |
E |
fetal biometric measurements |
|
228 |
2011 |
MRI |
T |
heart motion tracking |
|
229 |
2011 |
MR |
T |
heart motion tracking |
|
230 |
2010 |
CT |
R |
lung registration |
|
231 |
2009 |
MRI |
E |
modelling |
|
232 |
2009 |
CT |
RC |
reconstruction |