CellViT sets the benchmark for nuclei instance segmentation, surpassing existing methods on the PanNuke dataset with remarkable performance improvements. This cutting-edge project integrates the power of Vision Transformer (ViT) encoders, enhancing segmentation accuracy, and leverages a U-Net architecture for efficient feature extraction. With fast inference capabilities on gigapixel Whole Slide Images (WSI), CellViT promises to revolutionize the field of cell analysis in computational pathology.
