A Survey on Brain Tumor Detection and Segmentation from Magnetic Resonance Image

5 Pages Posted: 11 Apr 2019

See all articles by Priyanka Arya

Priyanka Arya

Kamla Nehru Institute of Technology

Anil Kumar Malviya

Kamla Nehru Institute of Technology

Date Written: March 11, 2019

Abstract

Even with tremendous advancement in medical technology tumor segmentation remain most tedious and complex work for doctors. Magnetic Resonance Imaging (MRI) is the most commonly used technique by the radiologist for inspection of internal human body parts without any dissection, but manual inspection consumes time and precious work hours. A possible solution for early detection of diseases such as a tumor, cancer can be computer-aided image analysis. Precise computerized classification of brain tumor form the MRI image is very important as it will lead to early detection, reduction in work hour and mistakes, propagation of automation in tumor removal and will also help to decide the course of treatment. Considering the difficulties, this work is aimed to highlight the techniques proposed in contemporary literature by summarizing the novel facts of research.

Keywords: Tumor Segmentation, Magnetic Resonance Imaging, Image Enhancement, Feature Selection

Suggested Citation

Arya, Priyanka and Malviya, Anil Kumar, A Survey on Brain Tumor Detection and Segmentation from Magnetic Resonance Image (March 11, 2019). Proceedings of 2nd International Conference on Advanced Computing and Software Engineering (ICACSE) 2019. Available at SSRN: https://ssrn.com/abstract=3350289 or http://dx.doi.org/10.2139/ssrn.3350289

Priyanka Arya (Contact Author)

Kamla Nehru Institute of Technology ( email )

SULTANPUR
UTTAR PRADESH
SULTANPUR
India

Anil Kumar Malviya

Kamla Nehru Institute of Technology ( email )

SULTANPUR
UTTAR PRADESH
SULTANPUR
India

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