Asset Details

  • Description:
  • Comparative analysis of proposed hybrid model with state-of-the-art methods with respect to DSC, sensitivity and specificity on MICCAI-BRATS 2013 dataset
  • License:
  • Rights Managed
  • Rights Holder:
  • Springer Nature
  • License Rights Holder:
  • © King Fahd University of Petroleum & Minerals 2019
  • Asset Type:
  • Image
  • Asset Subtype:
  • Table
  • Image Orientation:
  • Portrait
  • Image Dimensions:
  • 1040 x 1128
  • Image File Size:
  • 379 KB
  • Creator:
  • Sidra Sajid, Saddam Hussain, Amna Sarwar
  • Credit:
  • Sajid, S., Hussain, S., & Sarwar, A. (2019). Brain Tumor Detection and Segmentation in MR Images Using Deep Learning. Arabian Journal for Science and Engineering, 44(11), 9249-9261. https://doi.org/10.1007/s13369-019-03967-8.
  • Collection:
  • Keywords:
  • Brain tumor segmentation, Gliomas segmentation, Deep learning, CNN, MRI
  • Restrictions:
  • Property Release:
  • No
  • Model Release:
  • No
  • Purchasable:
  • Yes
  • Sensitive Materials:
  • No
  • Article Authors:
  • Sidra Sajid, Saddam Hussain, Amna Sarwar
  • Article Copyright Year:
  • 2019
  • Publication Volume:
  • 44
  • Publication Issue:
  • 11
  • Publication Date:
  • 06/28/2019
  • DOI:
  • https://doi.org/10.1007/s13369-019-03967-8

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