Advancing AI-Powered Medical Image Synthesis: Insights from MedVQA-GI Challenge Using CLIP, Fine-Tuned Stable Diffusion, and Dream-Booth + LoRA.
Ojonugwa Oluwafemi Ejiga Peter|Md Mahmudur Rahman|Fahmi Khalifa
| Anthology ID: | DBLP:conf/clef/Peter0K24 |
|---|---|
| Volume: | Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), Grenoble, France, 9-12 September, 2024. |
| Year: | 2024 |
| Venue: | Conference and Labs of the Evaluation Forum (CLEF) |
| Publisher: | CEUR-WS.org |
| Pages: | 1560-1578 |
| URL: | https://ceur-ws.org/Vol-3740/paper-145.pdf |
| DBLP: | conf/clef/Peter0K24 |
| BibTeX: |
@inproceedings{peter-2024-advancing,
author = {Ojonugwa Oluwafemi Ejiga Peter and
Md Mahmudur Rahman and
Fahmi Khalifa},
editor = {Guglielmo Faggioli and
Nicola Ferro and
Petra Galusc\'{a}kov\'{a} and
Alba Garcia Seco de Herrera},
title = {{Advancing AI-Powered Medical Image Synthesis: Insights from MedVQA-GI Challenge Using CLIP, Fine-Tuned Stable Diffusion, and Dream-Booth + LoRA}},
booktitle = {{Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), Grenoble, France, 9-12 September, 2024}},
series = {CEUR Workshop Proceedings},
volume = {3740},
pages = {1560--1578},
publisher = {CEUR-WS.org},
year = {2024},
url = {https://ceur-ws.org/Vol-3740/paper-145.pdf}
}