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Kangzhe Xiong

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Conference Open access 2025

Dense-CBAM-Forestnet: An Efficient Deep Learning Framework for Multi-Label Chest X-Ray Classification

: Timely and reliable interpretation of chest X-ray (CXR) images remains a bottleneck in large-scale screening programmes, especially in regions where expert radiologists are scarce. This study proposes a modular three-stage framework, named Dense-CBAM-Forestnet (CBAM: Convolutional Block Attention Module), which coupl...

Kangzhe Xiong · 0 citations

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