A feasibility study on deep learning based brain tumor segmentation using 2d ellipse box areas

HIGHLIGHTS

• who: Muhaddisa Barat Ali and colleagues from the Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden have published the paper: A Feasibility Study on Deep Learning Based Brain Tumor Segmentation Using 2D Ellipse Box Areas, in the Journal: Sensors 2022, 22, 5292. of /2022/
• what: The aim of this study is to train deep network for segmentation by areas surrounding the tumors. The experiments show that the proposed method has obtained good tumor segmentation results on the test sets wherein the dice score on tumor areas is (0.8407 0.9104) and segmentation . . .
  

   

  

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