BRAIN CANCER DETECTION USING MULTI-SEQUENCE MRI WITH DEEP SEGMENTATION MODELS
DOI:
https://doi.org/10.48047/1sg1am15Keywords:
Brain Cancer Detection, Multi Sequence MRI, Deep Learning, Image Segmentation, Convolutional Neural Networks (CNN), Medical Image Analysis, Explainable Artificial Intelligence (XAI), Grad-CAM, Saliency Maps, Tumor Classification, Computer-Aided Diagnosis, Transfer Learning, Processing, Healthcare AI, MRI ImageAbstract
Brain cancer is one of the most critical and life-threatening neurological disorders, where early detection and accurate diagnosis play a vital role in improving patient survival rates. Magnetic Resonance Imaging (MRI) has become the most widely used imaging technique for brain tumor analysis due to its ability to provide high resolution images of soft tissues without harmful radiation.
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