SOURCE-LINKED INTELLIGENCE

An Attention-Guided Global and Local Fusion Framework for Lesion-Focused Image Classification

arXiv · AI, language, vision and robotics · article · Sep 4, 2026 · UTC

Lesion-focused image classification presents a core analytical challenge, as discriminative signals are often sparse, spatially dispersed, and easily obscured by background noise, while conventional convolutional neural networks (CNNs) process entire images uniformly and may dilute signal relevance. This study hypothesizes that adaptive fusion of global contextual information and lesion-focused local information can improve classification performance compared with using either representation independently. We propose a three-branch, attention-guided deep learning framework built on Densely Con

Read original source ↗ Open in workspace

recordType

paper

region

Global