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Chest X-Ray Report Generation System by clintonkj is a document available to read on EtoBox.

The document presents a novel Multilevel Multi-Attention (MLMA) approach for automatic report generation from chest X-ray images, combining visual and textual attention mechanisms. This method enhances the quality of medical reports by leveraging Convolutional Neural Networks and Long Short-Term Memory networks to ensure contextual coherence and improve report generation efficiency. Evaluated on the IU chest X-ray dataset, the proposed model demonstrates significant performance improvements over existing me

Author
clintonkj
Language
EN