Brain Tumor Detection From CT Scan Images Using Watershed Segmentation Algorithm

Author:

Himanshu Pandey 1,Rishabh Jaiswal 1,Priyanshu Balmiki 1,Mukesh Chauhan 1

Affiliation:

1. Department of Electronics and Communication Engineering Galgotias College of Engineering and Technology Greater Noida, Uttar Pradesh, India

Abstract

The field of medical imaging gains value by increasing the need for automatic, reliable, fast and effective diagnostics that can provide insight into the image better than the human eye. A brain tumor is the second leading cause of cancer-related deaths in men aged 20 to 39 and the fifth leading cause of cancer among women in the same age group. Diagnosis of a tumor is a very important part of its treatment. Images are obtained by Computed Tomography (CT) and are processed for medical and therapeutic purposes. This paper discusses Watershed algorithm that can inform the user of tumor details using basic image processing techniques. This process helps to determine the size, shape and shape of the tumor. It helps medical staff and the patient understand the seriousness of the tumor. The contour GUI of the tumor and its boundary can provide information to medical personnel by clicking the user selection buttons.

Publisher

Technoscience Academy

Subject

General Medicine

Reference17 articles.

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5. Mohammed Sabbih Hamoud AlTamimi Ghazali Sulong, “Tumor Brain Detection Through MRI Images: A Review of Literature”, Journal of Theoretical and Applied Information Technology 20th April 2014.

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