Brain Tumor Detection Using Image Segmentation and Classification

Authors

  • Rabia Ahmad
  • Asma Khalid
  • Dr. Hameedur Rahman

DOI:

https://doi.org/10.5281/zenodo.5148283

Keywords:

MATLAB, segmentation, classification, brain tumor

Abstract

Image processing has an important factor called image Segmentation which is very important and initial step in medical image processing. In this process, image is partition according to distinct region. Processing of MRI scan image is the part of medical field. In this project, we use the patient’s MRI scan image to detect the Brain tumor using GUI in MATLAB. Before detection, we remove noise by removal functions and apply some basic concept of image processing including segmentation and morphological operations. This project is implemented in MATLAB software. This proposed method detects exact location of tumor from MRI image. This algorithm could be applied on different MRI scan images. In our purposed model, segmentation algorithm which detect the tumor region. After features are extracted through DWT followed by PCA for reducing features dimensions. Finally, SVM, CNN, Lazy IBK classifiers are applied on it to detect tumor type with high degree of accuracy.

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Published

2020-10-06

How to Cite

Rabia Ahmad, Asma Khalid, & Dr. Hameedur Rahman. (2020). Brain Tumor Detection Using Image Segmentation and Classification. LC International Journal of STEM (ISSN: 2708-7123), 1(3), 59-65. https://doi.org/10.5281/zenodo.5148283