Thresholding for Medical Image Segmentation for Cancer using Fuzzy Entropy with Level Set Algorithm

@article{Maolood2018ThresholdingFM,
  title={Thresholding for Medical Image Segmentation for Cancer using Fuzzy Entropy with Level Set Algorithm},
  author={Ismail Y. Maolood and Yahya A Alsalhi and Songfeng Lu},
  journal={Open Medicine},
  year={2018},
  volume={13},
  pages={374 - 383}
}
Abstract In this study, an effective means for detecting cancer region through different types of medical image segmentation are presented and explained. We proposed a new method for cancer segmentation on the basis of fuzzy entropy with a level set (FELs) thresholding. The proposed method was successfully utilized to segment cancer images and then efficiently performed the segmentation of test ultrasound image, brain MRI, and dermoscopy image compared with algorithms proposed in previous… 
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