arXiv:2511.01730v2 Announce Type: replace 
Abstract: Pneumonia remains a leading cause of morbidity and mortality worldwide, necessitating accurate and efficient automated detection systems. While recent transformer-based detectors like RT-DETR have shown promise in object detection tasks, their application to medical imaging, particularly pneumonia detection in chest X-rays, remains underexplored. This paper presents CGF-DETR, an enhanced real-time detection transformer specifically designed for pneumonia detection. We introduce XFABlock in the backbone to improve multi-scale feature extraction through convolutional attention mechanisms integrated with CSP architecture. To achieve efficient feature aggregation, we propose SPGA module that replaces standard multi-head attention with dynamic gating mechanisms and single-head self-attention. Additionally, GCFC3 is designed for the neck to enhance feature representation through multi-path convolution fusion while maintaining real-time performance via structural re-parameterization. Extensive experiments on the RSNA Pneumonia Detection dataset demonstrate that CGF-DETR achieves 82.2% mAP@0.5, outperforming the baseline RT-DETR-l by 3.7% while maintaining comparable inference speed at 48.1 FPS. Our ablation studies confirm that each proposed module contributes meaningfully to the overall performance improvement, with the complete model achieving 50.4% mAP@[0.5:0.95]

تقدم دراسة جديدة CGF-DETR، وهو محول متطور مصمم لتحسين الكشف عن الالتهاب الرئوي في الأشعة السينية للصدر. تهدف هذه الطريقة المبتكرة إلى تعزيز دقة وكفاءة أنظمة الكشف الآلي، مما يلبي حاجة ملحة في التصوير الطبي.

Un nuevo estudio presenta CGF-DETR, un transformador de vanguardia diseñado para mejorar la detección de neumonía en radiografías de tórax. Este enfoque innovador busca aumentar la precisión y eficiencia de los sistemas de detección automatizados, abordando una necesidad crítica en la imagenología médica.

Une nouvelle étude présente CGF-DETR, un transformateur de pointe conçu pour améliorer la détection de la pneumonie dans les radiographies thoraciques. Cette approche innovante vise à accroître la précision et l'efficacité des systèmes de détection automatisés, répondant à un besoin crucial en imagerie médicale.

A new study introduces CGF-DETR, a cutting-edge transformer designed to improve pneumonia detection in chest X-rays. This innovative approach aims to enhance the accuracy and efficiency of automated detection systems, addressing a critical need in medical imaging.

CGF-DETR: Cross-Gated Fusion DETR for Enhanced Pneumonia Detection in Chest X-rays

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