A non-invasive and adaptive CAD system to detect brain tumor from T2-weighted MRIs using customized Otsu's thresholding with prominent features and supervised learning

Nidhi Gupta, Pritee Khanna. A non-invasive and adaptive CAD system to detect brain tumor from T2-weighted MRIs using customized Otsu's thresholding with prominent features and supervised learning. Sig. Proc.: Image Comm., 59:18-26, 2017. [doi]

@article{GuptaK17-8,
  title = {A non-invasive and adaptive CAD system to detect brain tumor from T2-weighted MRIs using customized Otsu's thresholding with prominent features and supervised learning},
  author = {Nidhi Gupta and Pritee Khanna},
  year = {2017},
  doi = {10.1016/j.image.2017.05.013},
  url = {https://doi.org/10.1016/j.image.2017.05.013},
  researchr = {https://researchr.org/publication/GuptaK17-8},
  cites = {0},
  citedby = {0},
  journal = {Sig. Proc.: Image Comm.},
  volume = {59},
  pages = {18-26},
}