BRAIN TUMOR SEGMENTATION USING CONVOLUTION NEURAL NETWORK IN MRI IMAGES
- Skive Projectss
- Jun 3, 2022
- 1 min read
Updated: Jul 18, 2022
sdf 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. ..
ADVANTAGES
The advantages of applying more non-linearities and being less prone to over fitting because small kernels have fewer weights than bigger kernels.
Reduced the computation time and high accuracy. .. ..
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