KDE-med-lab at ImageCLEF 2024: Identify data and detect generative models using CNN by lung segmentation based on U-net.
Tetsuya Asakawa|Kazuki Shimizu|Kei Nomura|Masaki Aono
| Anthology ID: | DBLP:conf/clef/AsakawaSNA24 |
|---|---|
| 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: | 1500-1507 |
| URL: | https://ceur-ws.org/Vol-3740/paper-138.pdf |
| DBLP: | conf/clef/AsakawaSNA24 |
| BibTeX: |
@inproceedings{asakawa-2024-kdemedlab,
author = {Tetsuya Asakawa and
Kazuki Shimizu and
Kei Nomura and
Masaki Aono},
editor = {Guglielmo Faggioli and
Nicola Ferro and
Petra Galusc\'{a}kov\'{a} and
Alba Garcia Seco de Herrera},
title = {{KDE-med-lab at ImageCLEF 2024: Identify data and detect generative models using CNN by lung segmentation based on U-net}},
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 = {1500--1507},
publisher = {CEUR-WS.org},
year = {2024},
url = {https://ceur-ws.org/Vol-3740/paper-138.pdf}
}