Brain Tumor Segmentation
Overview
Conducted research on brain tumor segmentation using multimodal MRI scans from the BraTS2020 dataset.
Designed and implemented 8 various segmentation models based on UNet and MobileNet architectures.
Achieved a 92% validation Dice score using a Cascaded MobileNetV3 (Large) architecture.
Technology
Python
PyTorch
Brain Tumor Segmentation
Overview
Conducted research on brain tumor segmentation using multimodal MRI scans from the BraTS2020 dataset.
Designed and implemented 8 various segmentation models based on UNet and MobileNet architectures.
Achieved a 92% validation Dice score using a Cascaded MobileNetV3 (Large) architecture.
Technology
Python
PyTorch
Brain Tumor Segmentation
Overview
Conducted research on brain tumor segmentation using multimodal MRI scans from the BraTS2020 dataset.
Designed and implemented 8 various segmentation models based on UNet and MobileNet architectures.
Achieved a 92% validation Dice score using a Cascaded MobileNetV3 (Large) architecture.
Technology
Python
PyTorch
