International Journal of Bioinformatics and Biomedical Engineering
Articles Information
International Journal of Bioinformatics and Biomedical Engineering, Vol.6, No.3, Sep. 2021, Pub. Date: Oct. 15, 2021
Biomedical Image Processing Technique Using N Cut Theorem
Pages: 29-35 Views: 951 Downloads: 226
Authors
[01] Mirza Mursalin Iqbal, Department of Electrical and Electronic Engineering, University of Asia Pacific, Dhaka, Bangladesh.
[02] Khandaker Sultan Mahmood, Department of Electrical and Electronic Engineering, University of Asia Pacific, Dhaka, Bangladesh.
[03] Mohammad Abdullah Al Amin, Department of Electrical and Electronic Engineering, University of Asia Pacific, Dhaka, Bangladesh.
[04] Sabrina Sultana, Department of Electrical and Electronic Engineering, University of Asia Pacific, Dhaka, Bangladesh.
[05] Mohammad Basharuzzaman Shabuj, Department of Electrical and Electronic Engineering, University of Asia Pacific, Dhaka, Bangladesh.
Abstract
Computerized or automatic detection of tumors in medical images is inspired by inescapably of high accuracy when it is dealing with human life. This sickness has been the focal point of consideration of thousands of analysts for a long time, all throughout the planet. Specialists have joined their information and endeavours from numerous spaces going from clinical to numerical sciences, to all the more likely comprehend the infection also, to discover more viable medicines. The computer abetment is very important in medical institution because it could ameliorate the result of different types of disease recognition and the result of negative cases should be very low. MRI is often used for the distinguishing proof of different inconsistencies in delicate tissues, for instance, the Spine, injuries, and tumors. So, the processing of Magnetic Resonance Imaging (MRI) is one of the techniques to detect tumor accurately. In image processing 3D image generation process simulated. The key objective of this paper is to detect and extract spine tumor from the patient MRI scanned images of the spine. In this cycle the progression incorporates are pre handling, figuring space of cross segment, recognizing limit of cross segment, detecting tumor affected area and calculation of the tumor area. This whole application process is developed using Matrix Laboratory (MATLAB).
Keywords
Spine Tumor, MRI, Binary Image, Gray Scale Image, MATLAB
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