PyTorch 3D U-Net implementation for Multimodal Brain Tumor Segmentation (BraTS 2021)
Brain Tumor detection model built using CNN and deployed with accuracy 93.02% .
Identifying and classifying brain tumors in MRI scans using convolutional neural networks
Analyzing GSE50161 - which contains samples from ependymoma, glioblastoma, medulloblastoma, pilocytic astrocytoma, and normal brain - in order to see whether expression profiles could distinguish tumor types and reveal pathways linked to tumor growth, neural identity loss, immune context, and tumor microenvironment remodeling.
Design of Brain Tumor Detection System on MRI Image Using CNN
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