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Session IV : IoT

Brain Tumor Detection Using MRI Images

초록

영어

MRI imaging is expected to play a key role in diagnosing and arranging brain tissue treatment. It helps specialists in determining the stage of a brain tumor previously. Because of the complicated brain anatomy, MRI is used to diagnose brain tumors. Imaging, which is complex and a challenge. MRI images allow for greater differentiation between the soft tissues of the human body. MRI images skipped CT scans, ultrasound, and X-ray results. MATLAB image processing (IP) tools are used to perform pre-screening, background processing, and methods such as Filtering, contrast brightness, Edge location and background management processes for the receiving of brain tumor images, such as Histogram, Threshold, Segmentation, Morphological activity.

목차

Abstract
I. INTRODUCTION
A. Magnetic Resonance Imaging (MRI):
II. LITERATURE REVIEW
III. METHODOLOGY
A. Median Noise Removal Filter
B. Image Enhancement
C. Edge Detection
D. Threshold
E. Histogram
F. Morphological Operation
G. Segmentation
IV. CONCLUSION AND FUTURE WORK
REFERENCES

저자정보

  • Syeda Binish Zahra Department of Computer Science Lahore Garrison University. Lahore, Pakistan.
  • Sundus Munir Department of Computer Science Lahore Garrison University Lahore, Pakistan
  • Afrozah Nadeem Department of Computer Science Lahore Garrison University Lahore, Pakistan
  • Arfa Hassan Department of Computer Science Lahore Garrison University Lahore, Pakistan

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