Transform(AI)ng Radiology with CheXSBT: Integrating Dual-Attention Swin Transformer with BERT for Seamless Chest X-Ray Report Generation

Khandeparker, A. and Lu, P. orcid.org/0000-0002-0199-3783 (Accepted: 2025) Transform(AI)ng Radiology with CheXSBT: Integrating Dual-Attention Swin Transformer with BERT for Seamless Chest X-Ray Report Generation. In: Ali, S. and Hogg, D.C., (eds.) Medical Image Understanding and Analysis. Medical Image Understanding and Analysis (MIUA) 2025, 15-17 Jul 2025, Leeds, UK. Lecture Notes in Computer Science (LNCS) . Springer Nature ISBN 978-3-031-98687-1 (In Press)

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Ali, S.
  • Hogg, D.C.
Copyright, Publisher and Additional Information:

This is an author produced version of a conference paper accepted for publication in Medical Image Understanding and Analysis made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.
Dates:
  • Accepted: 20 May 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 04 Jul 2025 14:28
Last Modified: 08 Jul 2025 15:58
Published Version: https://link.springer.com/book/9783031986871#overv...
Status: In Press
Publisher: Springer Nature
Series Name: Lecture Notes in Computer Science (LNCS)
Open Archives Initiative ID (OAI ID):

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