Querying Implicit Fully Continuous Feature Pyramid to Align Features for Improved Medical Image Segmentation

A novel one-step query-based feature aligning paradigm, Q2A, is proposed to tackle the feature misalignment problem in implicit neural representation-based medical image segmentation decoders. Q2A utilizes a fully continuous feature pyramid built with a novel partition-and-aggregate strategy to effectively decode features at arbitrary continuous resolutions.