3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis

Understand

General point clouds have been increasingly investigated for different tasks, and recently Transformer-based networks are proposed for point cloud analysis.

• However, there are barely related works for medical point clouds, which are important for disease detection and treatment.
• In this work, we propose an attention-based model specifically for medical point clouds, namely 3D medical point Transformer (3DMedPT), to examine the complex biological structures.
• By augmenting contextual information and summarizing local responses at query, our attention module can capture both local context and global content feature interactions.