TY - GEN
T1 - Radgen
T2 - 38th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2025
AU - Han, Qianhao
AU - Ding, Daniel
AU - Liu, Junyi
AU - Qin, Zengchang
AU - Zheng, Zheng
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Automating radiology report generation can significantly reduce the workload of radiologists while improving the accuracy and consistency of clinical documentation. However, achieving optimal alignment between visual and textual representations in medical imaging remains a challenge. To address this, we demonstrate RadGen, a cross-modal fusion based system for automated medical report generation. RadGen uses MedCLIP as both a vision extractor and a retrieval mechanism to enhance the integration of imaging and textual data. By extracting features from retrieved reports and medical images through an attentionbased extraction module and integrating them with a fusion module, our system improves the coherence, accuracy, and clinical relevance of generated reports.
AB - Automating radiology report generation can significantly reduce the workload of radiologists while improving the accuracy and consistency of clinical documentation. However, achieving optimal alignment between visual and textual representations in medical imaging remains a challenge. To address this, we demonstrate RadGen, a cross-modal fusion based system for automated medical report generation. RadGen uses MedCLIP as both a vision extractor and a retrieval mechanism to enhance the integration of imaging and textual data. By extracting features from retrieved reports and medical images through an attentionbased extraction module and integrating them with a fusion module, our system improves the coherence, accuracy, and clinical relevance of generated reports.
KW - attention-based models
KW - cross-modal
KW - radiology report generation
UR - https://www.scopus.com/pages/publications/105010614795
U2 - 10.1109/CBMS65348.2025.00031
DO - 10.1109/CBMS65348.2025.00031
M3 - 会议稿件
AN - SCOPUS:105010614795
T3 - Proceedings - IEEE Symposium on Computer-Based Medical Systems
SP - 111
EP - 112
BT - Proceedings - 2025 IEEE 38th International Symposium on Computer-Based Medical Systems, CBMS 2025
A2 - Rodriguez-Gonzalez, Alejandro
A2 - Sicilia, Rosa
A2 - Prieto-Santamaria, Lucia
A2 - Papadopoulos, George A.
A2 - Guarrasi, Valerio
A2 - Cazzolato, Mirela Teixeira
A2 - Kane, Bridget
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 June 2025 through 20 June 2025
ER -