pyKNEEr: An image analysis workflow for open and reproducible research on femoral knee cartilage - Validation data
Year: 2019
Type: dataset
Abstract: Image data used in the paper introducing pyKNEEr. Explanations about these data are in the GitHub repository Changes in version 0.2.0: - Added inHouse images - Segmented images casted to int16 for smaller file size
Source: Figshare
Authors: Bonaretti, Serena, Gold, Garry, Beaupre, Gary
Institution: Stanford University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4393876253
