This repository provides implementation for augmenting 3D medical image datasets using MONAI, an open-source framework built on PyTorch. The focus is on generating synthetic data to improve the performance and robustness of segmentation models.

• Apply various affine transformations such as flipping, rotation, translation, and Gaussian noise.
• Supports both online (during training) and offline (before training) data augmentation.
• Save augmented data in NIfTI format for further use.
• Visualize original and augmented data slices.