This repository implements a 3D U-Net architecture enhanced with Spatial Attention for segmenting brain tumors. The code is designed to work with volumetric medical images (in NIfTI format) and is ...

3D segmentation of the C. elegans germ line. Contribute to COBA-NIH/UNet_3D_C_elegans development by creating an account on GitHub.

Cloud detection (CD) in remote sensing images is commonly used in satellite imaging and laser communication. UNet-based methods with multi-level feature caching and interaction learning, are popular ...

However, current UNet-like methods still suffer from some problems: 1) The heterogeneity of lung nodules affect the segmentation performance; 2) the mixture of lung nodules and their surrounding ...

242504 Introduction: Delineating tumors in PET/CT images involves manual segmentation, which is both time-consuming and error-prone due to variability between observers. To address this, we trained a ...