Simulating Realistic MRI variations to Improve Deep Learning model and visual explanations using GradCAM

@article{Patel2021SimulatingRM,
  title={Simulating Realistic MRI variations to Improve Deep Learning model and visual explanations using GradCAM},
  author={M. I. Patel and Shrey Singla and Razeem Ahmad Ali Mattathodi and Sumit Sharma and Deepam Gautam and Srinivasa Rao Kundeti},
  journal={2021 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)},
  year={2021},
  pages={1-8}
}
In the medical field, landmark detection in MRI plays an important role in reducing medical technician efforts in tasks like scan planning, image registration, etc. First, 88 landmarks spread across the brain anatomy in the three respective views- sagittal, coronal, and axial are manually annotated, later guidelines from the expert clinical technicians are taken subanatomy-wise, for better localization of the existing landmarks, in order to identify and locate the important atlas landmarks even… 
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