An Explainable Three-Dimension Framework for Uncovering Learning Patterns in Neuroscience

The proposed 3D explainability framework enhances deep learning networks' ability to detect the paracingulate sulcus, improving accuracy and uncovering hidden knowledge in brain anatomy.