This session focuses on unraveling the intricacies of 3D liver image segmentation using PyTorch and MONAI. This tutorial/demo session promises a deep dive into:

Navigating Challenges: Explore the hurdles and cruciality of accurate 3D liver image segmentation.

Leveraging MONAI: Discover how MONAI empowers the handling and processing of complex medical imaging data, ensuring robust dataset management.

Code Walkthrough: Delve into the code, understanding the strategic and technical decisions from data preprocessing to model implementation and evaluation.

Model Training & Testing: Explore the strategies for training and testing segmentation models, ensuring reliable outcomes.