BIOMERO: BioImage analysis in OMERO

Autor: Luik, Torec T., Rosas-Bertolini, Rodrigo, Reits, Eric A. J., Hoebe, Ron A., Krawczyk, Przemek M.

In the rapidly evolving field of bioimaging, the integration and orchestration of Findable, Accessible, Interoperable, and Reusable (FAIR) image analysis workflows remains a challenge. We introduce BIOMERO, a bridge connecting OMERO, a renowned bioim

Externí odkaz: http://arxiv.org/abs/2402.00734

The Effectiveness of Phrase Skip-Gram in Primary Care NLP for the Prediction of Lung Cancer

Autor: Luik, Torec T., Rios, Miguel, Abu-Hanna, Ameen, van Weert, Henk C. P. M., Schut, Martijn C., Tucker, Allan, Henriques Abreu, Pedro, Cardoso, Jaime, Pereira Rodrigues, Pedro, Riaño, David

Publikováno v: Artificial Intelligence in Medicine ISBN: 9783030772109
AIME
Artificial Intelligence in Medicine-19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Proceedings, 12721 LNAI, 433-437

Neural models that use context-dependency in the learned text are computationally expensive. We compare the effectiveness (predictive performance) and efficiency (computational effort) of a context-independent Phrase Skip-Gram (PSG) model and a conte

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fb68c4d9b97d7e6c34d3e84d47d95e8
https://doi.org/10.1007/978-3-030-77211-6_51