OAIZIB-CM: Dataset from the CartiMorph Project

This is the official release of OAIZIB-CM dataset. OAIZIB-CM is based on the OAIZIB dataset OAIZIB paper: Automated Segmentation of Knee Bone and Cartilage combining Statistical Shape Knowledge and Convolutional Neural Networks: Data from the Osteoarthritis Initiative In OAIZIB-CM, tibial cartilage is split into medial and lateral tibial cartilages. OAIZIB-CM includes CLAIR-Knee-103R, consisting of a template image learned from 103 MR images of subjects without radiographic OA corresponding 5-ROI segmentation mask for cartilages and bones corresponding 20-ROI atlas for articular cartilages It is compulsory to cite the paper if you use the dataset CartiMorph: A framework for automated knee articular cartilage morphometrics For convenient dataset download in Python, please refer to the Hugging Face release of the same dataset:https://huggingface.co/datasets/YongchengYAO/OAIZIB-CM