An Investigation of Various Medical Image Segmentation Techniques

Authors

  • S. Raghu  Research Scholar, Department of CSE, Osmania University, Hyderabad, Telangana, India
  • Prof. T. Adi Lakshmi  Professor and Head, Department of CSE, Vasavi College of Engineering, Hyderabad, Telangana, India

Keywords:

Image Preprocessing, Feature Extraction Image Segmentation, Image Classification, MRI images, Tumors.

Abstract

Medical pictures have found wide uses in healthcare in recent years for diagnosing disease, therapy planning, and monitoring disease development, which include the collection of images of the afflicted organ utilizing various modalities. Picture segmentation is the technique of dividing an image into numerous segments, which is utilized in a variety of medical imaging applications. Aside from other organs, precise segmentation of MRI brain pictures aids physicians in the effective and early identification and detection of brain tumors. The abnormal development of cells within the brain structure is known as a brain tumor, also known as an intracranial neoplasm. This article attempts to examine several segmentation methods and determine the best appropriate approach to segment MRI brain pictures impacted by malignant tumors and assess the tumor's growth pattern, representing it as a binary image output to aid the physician in early diagnosis.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2022-02-28

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Volume 9, Issue 1, January-February-2022

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Research Articles

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[1]
S. Raghu, Prof. T. Adi Lakshmi "An Investigation of Various Medical Image Segmentation Techniques" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 1, pp.292-301, January-February-2022.