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@article{173989,
        author = {Ashafa Isa and Rukamanee and Aalia abdullah and Ayush kumar and Abubakar Shehu Barde and Barde, A. S.},
        title = {Tumour Detection and Tissue Segmentation in Magnetic Resonance Imaging},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {2935-2942},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173989},
        abstract = {Magnetic Resonance Imaging (MRI) is a cross sectional diagnostic imaging modality that functions based  strong magnetic fields and radio waves to produce detailed cross sectional images of internal structures of the body.1 This investigation focuses on the detection of tumors and tissue segmentation in MRI, especially in cases of neoplastic and degenerative diseases. Secondary data was obtained from the Harvard Brain Web Repository, covering situation such as gliomas, metastatic carcinomas, meningiomas, sarcomas, and neurodegenerative diseases like Alzheimer’s and Huntington’s disease.2  The results highlight the significant role of MRI in detecting pathological changes in the brain, differentiating normal and diseased tissues, and aiding in early diagnosis of the diseases and treatment planning. The study also identifies variability in MRI exposure parameters across centers, affecting image quality and diagnostic accuracy.3},
        keywords = {Magnetic Resonance Imaging (MRI), Tumor Detection, Neoplastic Diseases, Degenerative Diseases, Tissue Segmentation, Brain Imaging},
        month = {March},
        }