Vision Language Transformation for Medical Image Captioning: Comparison of Four Pretrained CNN Networks

Salma Elgayar; Safwat Hamad; El Sayed M. El-Horbaty

doi:10.1109/ICCTA64612.2024.10974869

Vision Language Transformation for Medical Image Captioning: Comparison of Four Pretrained CNN Networks

Salma Elgayar
, Safwat Hamad
, El Sayed M. El-Horbaty

Saint Mary's College of California

Producción científica

Idioma original	English
Título de la publicación alojada	34th International Conference on Computer Theory and Applications, ICCTA 2024
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	253-260
Número de páginas	8
ISBN (versión digital)	9798331529673
DOI	https://doi.org/10.1109/ICCTA64612.2024.10974869
Estado	Published - 2024
Evento	34th International Conference on Computer Theory and Applications, ICCTA 2024 - Alexandria Duración: dic 14 2024 → dic 16 2024

Serie de la publicación

Nombre	34th International Conference on Computer Theory and Applications, ICCTA 2024

Conference

Conference	34th International Conference on Computer Theory and Applications, ICCTA 2024
País/Territorio	Egypt
Ciudad	Alexandria
Período	12/14/24 → 12/16/24

ASJC Scopus Subject Areas

Artificial Intelligence
Computational Theory and Mathematics
Computer Science Applications
Information Systems and Management
Safety, Risk, Reliability and Quality
Modeling and Simulation

Acceder al documento

10.1109/ICCTA64612.2024.10974869

Otros archivos y enlaces

Citar esto

Elgayar, S., Hamad, S., & El-Horbaty, E. S. M. (2024). Vision Language Transformation for Medical Image Captioning: Comparison of Four Pretrained CNN Networks. En 34th International Conference on Computer Theory and Applications, ICCTA 2024 (pp. 253-260). (34th International Conference on Computer Theory and Applications, ICCTA 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCTA64612.2024.10974869

Elgayar, Salma, Safwat Hamad y El Sayed M. El-Horbaty. "Vision Language Transformation for Medical Image Captioning: Comparison of Four Pretrained CNN Networks." 34th International Conference on Computer Theory and Applications, ICCTA 202434th International Conference on Computer Theory and Applications, ICCTA 2024., Institute of Electrical and Electronics Engineers Inc., 2024, 253-260 https://doi.org/10.1109/ICCTA64612.2024.10974869

Vision Language Transformation for Medical Image Captioning: Comparison of Four Pretrained CNN Networks. / Elgayar, Salma; Hamad, Safwat; El-Horbaty, El Sayed M.
34th International Conference on Computer Theory and Applications, ICCTA 2024. Institute of Electrical and Electronics Engineers Inc., 2024. p. 253-260 (34th International Conference on Computer Theory and Applications, ICCTA 2024).

Producción científica

Elgayar, S, Hamad, S & El-Horbaty, ESM 2024, Vision Language Transformation for Medical Image Captioning: Comparison of Four Pretrained CNN Networks. En 34th International Conference on Computer Theory and Applications, ICCTA 2024. 34th International Conference on Computer Theory and Applications, ICCTA 2024, Institute of Electrical and Electronics Engineers Inc., pp. 253-260, 34th International Conference on Computer Theory and Applications, ICCTA 2024, Alexandria, Egypt, 12/14/24. https://doi.org/10.1109/ICCTA64612.2024.10974869

Elgayar S, Hamad S, El-Horbaty ESM. Vision Language Transformation for Medical Image Captioning: Comparison of Four Pretrained CNN Networks. En 34th International Conference on Computer Theory and Applications, ICCTA 2024. Institute of Electrical and Electronics Engineers Inc. 2024. p. 253-260. (34th International Conference on Computer Theory and Applications, ICCTA 2024). doi: 10.1109/ICCTA64612.2024.10974869

Elgayar, Salma ; Hamad, Safwat ; El-Horbaty, El Sayed M. / Vision Language Transformation for Medical Image Captioning : Comparison of Four Pretrained CNN Networks. 34th International Conference on Computer Theory and Applications, ICCTA 2024. Institute of Electrical and Electronics Engineers Inc., 2024. pp. 253-260 (34th International Conference on Computer Theory and Applications, ICCTA 2024).

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