GAN ALGORITHM USING IMAGE SEGMENTATION OF BRAIN CANCER OF MRI IMAGES USING GLCM FEATURES
V PAVANI
, T JYOTHI KUMARI , P ROHIT
Gray Level Co-Occurrence Matrix (GLCM), Segmentation, Generative Adversarial Network (GAN)
The main motive of this paper is to detect tumor from MRI images with the interface of Gray Level Co-Occurrence Matrix (GLCM) methods using Matlab. Our goal is to apply semantic segmentation of brain tumours from MRI Images using a Generative Adversarial Network (GAN). In daily life, computational applications are becoming increasingly important. More research has been done on the use of computer-aided systems for computational biomedical applications. The most frequent cause of death in the current state of the medical community is the discovery of a brain tumor. One of the specialized medical image analysis techniques is the automated diagnosis of brain disorders using MR images. The primary topics of this research are the identification and segmentation of the brain tumor region. We are able to identify the cancer location early on by using a variety of approaches, including water segmentation, segmentation, filtering, and thresholding. Compared to the previous methods, this method yields a very accurate cancer zone with well-defined boundaries. This technological development is beneficial to radio surgery specialists. Therefore, by employing this technique, a physician may precisely distinguish the tumor area, shielding the unaffected tumor area from radiological exposure.
"GAN ALGORITHM USING IMAGE SEGMENTATION OF BRAIN CANCER OF MRI IMAGES USING GLCM FEATURES ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 3, page no.997 - 1005, March-2024, Available :https://ijsdr.org/papers/IJSDR2403139.pdf
Volume 9
Issue 3,
March-2024
Pages : 997 - 1005
Paper Reg. ID: IJSDR_210591
Published Paper Id: IJSDR2403139
Downloads: 000347102
Research Area: Electronics & Communication Engg.
Country: VISHAKAPATNAM, ANDHRAPRADESH, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
