Leveraging Diverse CNN Architectures for Medical Image Captioning: DenseNet-121, MobileNetV2, and ResNet-50 in ImageCLEF 2024.
Sriram Ram|Shashaank Vinoth|Rahul Natesh Gopalakrishnan|Aastick Amirteswar Balakumar|Lekshmi Kalinathan|Thomas Abraham Joseph Velankanni
| Anthology ID: | DBLP:conf/clef/RamVGBKV24 |
|---|---|
| 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: | 1720-1728 |
| URL: | https://ceur-ws.org/Vol-3740/paper-160.pdf |
| DBLP: | conf/clef/RamVGBKV24 |
| BibTeX: |
@inproceedings{ram-2024-leveraging,
author = {Sriram Ram and
Shashaank Vinoth and
Rahul Natesh Gopalakrishnan and
Aastick Amirteswar Balakumar and
Lekshmi Kalinathan and
Thomas Abraham Joseph Velankanni},
editor = {Guglielmo Faggioli and
Nicola Ferro and
Petra Galusc\'{a}kov\'{a} and
Alba Garcia Seco de Herrera},
title = {{Leveraging Diverse CNN Architectures for Medical Image Captioning: DenseNet-121, MobileNetV2, and ResNet-50 in ImageCLEF 2024}},
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 = {1720--1728},
publisher = {CEUR-WS.org},
year = {2024},
url = {https://ceur-ws.org/Vol-3740/paper-160.pdf}
}