Fig. 2
From: A deep learning algorithm for automated adrenal gland segmentation on non-contrast CT images
Workflow of Adrenal Gland Segmentation Using nnU-Net on Non-contrast CT Images. This diagram shows adrenal gland segmentation using nnU-Net on non-contrast CT images. Inputs are 2D/3D CT images with ROI/VOI annotations (2D/3D masks). Preprocessing includes cropping, resampling, normalization, and data augmentation. Data are processed by 2D/3D nnU-Net with 5-fold cross-validation, followed by external testing. Post-processing refines segmentation and calculates volume