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} }