多模态信息融合

On the Complementarity of Quantum and Classical Features: Adaptive Hybrid Quantum-Classical Feature Fusion for Breast Cancer Classification

量子与经典特征的互补性：面向乳腺癌分类的自适应混合量子-经典特征融合

Yasmin Rodrigues Sobrinho, João Renato Ribeiro Manesco, João Paulo Papa

机构 * Department of Computing, São Paulo State University（圣保罗州大学计算机系） 纠错

专题命中 通用Image Fusion ：hybrid fusion(abstract)；分类 cs.CV

AI总结 本文提出一种混合量子-经典架构，通过双分支特征提取管道融合经典模型和量子电路的互补表示，引入三种特征融合策略提升乳腺癌分类性能。

Comments 41 pages, 16 figures. This manuscript is a preprint under review at Artificial Intelligence in Medicine