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Segmentation of Brain Tumor Based on MRI

Segmentation of Brain Tumor Based on MRI

          
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About the Book

Among brain tumors, gliomas are the most common and aggressive, leading to a very short life expectancy in their highest grade. Thus, treatment planning is a key stage to improve the quality of life of oncological patients. Magnetic resonance imaging (MRI) is a widely used imaging technique to assess these tumors, but the large amount of data produced by MRI prevents manual segmentation in a reasonable time, limiting the use of precise quantitative measurements in the clinical practice. So, automatic and reliable segmentation methods are required; however, the large spatial and structural variability among brain tumors make automatic segmentation a challenging problem. Here, we propose an automatic segmentation method based on Convolutional Neural Networks (CNN), exploring small 3*3 kernels. The use of small kernels allows designing a deeper architecture, besides having a positive effect against over fitting, given the fewer number of weights in the network.


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Product Details
  • ISBN-13: 9786202557467
  • Publisher: KS Omniscriptum Publishing
  • Publisher Imprint: LAP Lambert Academic Publishing
  • Height: 229 mm
  • No of Pages: 64
  • Spine Width: 4 mm
  • Width: 152 mm
  • ISBN-10: 620255746X
  • Publisher Date: 05 Jun 2020
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Weight: 104 gr


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