Brain Tumor Detection from MRI images of the brain.
INVESTIGATING BRAIN TUMORS THROUGH CNN TECHNIQUES
MPS-accelerated Brain Tumour Segmentation task based on BraTS '21 task dataset. Uses a hybrid Swin-UNETR + CNN architecture. Optimized for Apple Silicon (M-chip) systems using MPS.
Deep learning model for brain tumor classification using MRI images. Built with TensorFlow, Keras, and OpenCV, trained on CNN architecture, and optimized with Adam. 🎯🔥
2D-CNN for Brain Tumor Classification
Glioma Brain-Tumor Cell Classification is an IIT Jodhpur × AIIMS Jodhpur project that detects and classifies astrocytes, microglia, and cancerous glioma cells from biopsy images. A YOLOv8 + ViT multi-head pipeline achieved 96% accuracy, far outperforming CNN and direct YOLO baselines.
A mobile application developed for Brain tumor detection
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