The release of Gemma 3n, Google's latest family of open nano models, made LLM edge deployment more accessible. Its unique architecture is engineered to address the persistent challenges ...
Training 3D U-Net for Brain Tumor Segmentation Challenge – Medical Imaging
3D U-Net, a powerful deep learning architecture for medical image segmentation, is designed to process 3D volumetric data like brain tumors, enabling a more comprehensive and precise analysis of brain ...
YOLOv9 Instance Segmentation on Medical Dataset
Deep learning has revolutionized medical image analysis. By identifying complex patterns within medical images, it helps us to interpret crucial insights about our biological systems. So, if you ever ...
