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Image processing techniques for the enhancement of brain tumor
patterns
ABSTRACT:
Brain tumor analysis is done by doctors but its grading gives different conclusions which
may vary from one doctor to another. So for the ease of doctors, a research was done
which made the use of software with edge detection and segmentation methods, which
gave the edge pattern and segment of brain and brain tumor itself. Medical image
segmentation had been a vital point of research, as it inherited complex problems for the
proper diagnosis of brain disorders. In this research, it provides a foundation of
segmentation and edge detection, as the first step towards brain tumor grading. Current
segmentation approaches are reviewed with an emphasis placed on revealing the
advantages and disadvantages of these methods for medical imaging applications. The
use of image segmentation in different imaging modalities is also described along with
the difficulties encountered in each modality.

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Brain Tumor Image Enhancement Techniques

  • 1. 2020 – 2021 #13/ 19, 1st Floor, Municipal Colony, Kangayanellore Road, Gandhi Nagar, Vellore – 6. Off: 0416-2247353 Mo: +91 9500218218 / +91 8220150373 Website: www.shakastech.com, Email - id: shakastech@gmail.com, info@shakastech.com Image processing techniques for the enhancement of brain tumor patterns ABSTRACT: Brain tumor analysis is done by doctors but its grading gives different conclusions which may vary from one doctor to another. So for the ease of doctors, a research was done which made the use of software with edge detection and segmentation methods, which gave the edge pattern and segment of brain and brain tumor itself. Medical image segmentation had been a vital point of research, as it inherited complex problems for the proper diagnosis of brain disorders. In this research, it provides a foundation of segmentation and edge detection, as the first step towards brain tumor grading. Current segmentation approaches are reviewed with an emphasis placed on revealing the advantages and disadvantages of these methods for medical imaging applications. The use of image segmentation in different imaging modalities is also described along with the difficulties encountered in each modality.