Above is an example segmentation using the trained UNet model provided in this repo. Issues with over-segmentation, particularly in the region between the large and small cells, is currently being ...

The code implements a 3D U-Net with the following key elements: Multi-modality input: Uses FLAIR, T1, and T1ce images. Spatial Attention: A custom Keras layer is introduced to re-weight feature maps ...

UNet and its extended versions are the most used networks in the lung nodule segmentation from CT images. However, current UNet-like methods still suffer from some problems: 1) The heterogeneity of ...

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 ...