Corpus ID: 236447814

Improved-Mask R-CNN: Towards an Accurate Generic MSK MRI instance segmentation platform (Data from the Osteoarthritis Initiative)

@article{Felfeliyan2021ImprovedMaskRT,
  title={Improved-Mask R-CNN: Towards an Accurate Generic MSK MRI instance segmentation platform (Data from the Osteoarthritis Initiative)},
  author={Banafsheh Felfeliyan and Abhilash Rakkunedeth Hareendranathan and Gregor Kuntze and Jacob Lester Jaremko and Janet L. Ronsky},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.12889}
}
Objective assessment of Magnetic Resonance Imaging (MRI) scans of osteoarthritis (OA) can address the limitation of the current OA assessment. Segmentation of bone, cartilage, and joint fluid is necessary for the OA objective assessment. Most of the proposed segmentation methods are not performing instance segmentation and suffer from class imbalance problems. This study deployed Mask R-CNN instance segmentation and improved it (improved-Mask R-CNN (iMaskRCNN)) to obtain a more accurate… Expand

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