A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction

@article{Agravat2021ASA,
  title={A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction},
  author={Rupal R. Agravat and Mehul S. Raval},
  journal={ArXiv},
  year={2021},
  volume={abs/2101.10599}
}
Glioma is the most deadly brain tumor with high mortality. Treatment planning by human experts depends on the proper diagnosis of physical symptoms along with Magnetic Resonance(MR) image analysis. Highly variability of a brain tumor in terms of size, shape, location, and a high volume of MR images makes the analysis time-consuming. Automatic segmentation methods achieve a reduction in time with excellent reproducible results.The article aims to survey the advancement of automated methods for… Expand

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