This repository is the official implementation of CMFS, a unified framework that leverages CLIP-guided modality interaction to mitigate noise in multi-modal image fusion and segmentation.

Abstract: It has been widely accepted that complementary information introduced from an auxiliary modality is beneficial in medical imaging, and multi-modality segmentation often has better ...

Abstract: Multi-qubit encoding is a quantum encoding technique that uses multiple qubits to represent information, enabling higher data throughput. This study explores its application in compressed ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.