Manual Segmentations
507 segmentations for DESS MRIs from the OAI database.
Auto Segmentations
46'996 segmentations for DESS MRIs from the OAI database.
Manual Landmarks
900 landmarks for full-leg X-rays from the OAI database.
Map of registered users
Summary of the underlying publications.
507 manual segmentations. The OAI-ZIB dataset.
Felix Ambellan, Alexander Tack, Moritz Ehlke, Stefan Zachow:
Automated Segmentation of Knee Bone and Cartilage combining Statistical Shape Knowledge and Convolutional Neural Networks: Data from the Osteoarthritis Initiative.
Medical Image Analysis (2019)
Automated assessment of knee alignment. The ZIB-LM dataset.
Alexander Tack, Bernhard Preim, Stefan Zachow:
Fully automated Assessment of Knee Alignment from Full-Leg X-Rays employing a "YOLOv4 And Resnet Landmark regression Algorithm" (YARLA): Data from the Osteoarthritis Initiative
Computer Methods and Programs in Biomedicine (2021)
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46'996 automated segmentations of DESS MRI Data.
Alexander Tack, Felix Ambellan, Stefan Zachow:
Towards Novel Osteoarthritis Biomarkers: Multi-Criteria Evaluation of 46,996 Segmented Knee MRI data from the Osteoarthritis Initiative.
PLOS One (2021)
2'399 automated segmentations of knee menisci (DESS and IW TSE MRI Data).
Alexander Tack, Alexey Shestakov, David Luedke, Stefan Zachow:
A deep multi-task learning method for detection of meniscal tears in MRI data from the Osteoarthritis Initiative database.
Frontiers in Bioengineering and Biotechnology (2021)
Your data here. Feel free to suggest to add data of semantic segmentations or anatomical landmarks to our pool.
