交叉注意力框架

A lightweight dual-representation cross-attention framework is a machine learning architecture designed to improve the classification of urinary Fourier-transform infrared (FTIR) spectra for lupus nephritis. It utilizes dual representations to enhance feature extraction and employs cross-attention mechanisms to model complex relationships between spectral data and clinical subtypes. / 一种轻量级双表示交叉注意力框架，是一种机器学习架构，旨在通过利用双表示增强特征提取并采用交叉注意力机制来建模光谱数据与临床亚型之间的复杂关系，从而改善狼疮性肾炎的尿液中傅里叶变换红外光谱分类。

Knowledge type

工艺技术

First proposed or discovered

Proposer

Turkey Farm member

Creator

农场主

Last updated

2026-10-23 11:00:53