Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Brochet, Thibaud"'
Publikováno v:
Entropy 2022, 24(4), 436
In this paper, we propose to quantitatively compare loss functions based on parameterized Tsallis-Havrda-Charvat entropy and classical Shannon entropy for the training of a deep network in the case of small datasets which are usually encountered in m
Externí odkaz:
http://arxiv.org/abs/2203.11943
Pulmonary optical endomicroscopy (POE) is an imaging technology in real time. It allows to examine pulmonary alveoli at a microscopic level. Acquired in clinical settings, a POE image sequence can have as much as 25% of the sequence being uninformati
Externí odkaz:
http://arxiv.org/abs/2104.05450
Autor:
Brochet, Thibaud1 (AUTHOR) thibaud.brochet@univ-rouen.fr, Lapuyade-Lahorgue, Jérôme1 (AUTHOR) jerome.lapuyade-lahorgue@univ-rouen.fr, Huat, Alexandre1,2,3 (AUTHOR) alexandre.huat@univ-rouen.fr, Thureau, Sébastien1,2 (AUTHOR) sebastien.thureau@chb.unicancer.fr, Pasquier, David4 (AUTHOR) d-pasquier@o-lambret.fr, Gardin, Isabelle1,2 (AUTHOR) isabelle.gardin@chb.unicancer.fr, Modzelewski, Romain1,2 (AUTHOR) romain.modzelewski@chb.unicancer.fr, Gibon, David3 (AUTHOR), Thariat, Juliette5 (AUTHOR) juliette.thariat@cfb.unicancer.fr, Grégoire, Vincent6 (AUTHOR) vincent.gregoire@crcl.fr, Vera, Pierre1,2 (AUTHOR) pierre.vera@chb.unicancer.fr, Ruan, Su1 (AUTHOR) su.ruan@univ-rouen.fr
Publikováno v:
Entropy. May2022, Vol. 24 Issue 5, pN.PAG-N.PAG. 1p.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.