It is composed of two U-Net models in cascade, where the first model is used to predict a rough estimation of the lung nodule location and the second model refines the generated segmentation mask. Our ...

Abstract: Tumor segmentation is crucial for cancer diagnosis ... demonstrate that MMEFU-Net outperforms state-of-the-art U-Net, Transformer-based, and Mamba-based architectures. The model achieves ...

The following is a summary of “Diffusion-CSPAM U-Net: A U-Net model integrated hybrid attention mechanism and diffusion model for segmentation of computed tomography images of brain metastases,” ...

This repository features a PyTorch implementation of the U-Net architecture for image segmentation, using the powerful segmentation-models-pytorch library. It includes Albumentations-based ...

This repository contains the original implementation of "MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation" in Keras (Tensorflow as backend). In this ...

Drawing on data from The GAIA Study, she explores how the plant-based sector can leverage new consumer segmentation to engage with next-gen consumers in a way that addresses both their emotional and ...