SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation.
Arjun D. DesaiAndrew M. SchmidtElka B. RubinChristopher M. SandinoMarianne S. BlackValentina MazzoliKathryn J. StevensRobert BoutinChristopher RéGarry GoldBrian A. HargreavesAkshay S. ChaudhariPublished in: CoRR (2022)
Keyphrases
- high resolution
- weakly labeled
- image dataset
- input image
- computer tomography
- single image
- reconstruction process
- image features
- image analysis
- reconstruction method
- image segmentation
- image content
- image retrieval
- images with ground truth
- image classification
- image collections
- image representation
- medical images
- image data
- multiscale
- clinical applications
- feature points
- segmentation method
- image regions
- magnetic resonance imaging
- mri images
- sift flow
- dense correspondence
- magnetic resonance images
- sparse reconstruction
- rule interestingness measures
- quality evaluation
- shape recovery
- segmented images
- mri data
- reconstruction error
- medical imaging
- three dimensional