Zobrazeno 1 - 10
of 42
pro vyhledávání: '"VanBerlo, Blake"'
Self-supervised learning (SSL) is one strategy for addressing the paucity of labelled data in medical imaging by learning representations from unlabelled images. Contrastive and non-contrastive SSL methods produce learned representations that are sim
Externí odkaz:
http://arxiv.org/abs/2403.07715
In this study, we investigated whether self-supervised pretraining could produce a neural network feature extractor applicable to multiple classification tasks in B-mode lung ultrasound analysis. When fine-tuning on three lung ultrasound tasks, pretr
Externí odkaz:
http://arxiv.org/abs/2309.02596
Self-supervised pretraining has been observed to be effective at improving feature representations for transfer learning, leveraging large amounts of unlabelled data. This review summarizes recent research into its usage in X-ray, computed tomography
Externí odkaz:
http://arxiv.org/abs/2309.02555
Self-supervised pretraining has been observed to improve performance in supervised learning tasks in medical imaging. This study investigates the utility of self-supervised pretraining prior to conducting supervised fine-tuning for the downstream tas
Externí odkaz:
http://arxiv.org/abs/2304.02724
One's ability to learn a generative model of the world without supervision depends on the extent to which one can construct abstract knowledge representations that generalize across experiences. To this end, capturing an accurate statistical structur
Externí odkaz:
http://arxiv.org/abs/2110.14157
This study describes an investigation into the modelling of citywide water consumption in London, Canada. Multiple modelling techniques were evaluated for the task of univariate time series forecasting with water consumption, including linear regress
Externí odkaz:
http://arxiv.org/abs/2105.08486
We introduce a machine learning approach to predict chronic homelessness from de-identified client shelter records drawn from a commonly used Canadian homelessness management information system. Using a 30-day time step, a dataset for 6521 individual
Externí odkaz:
http://arxiv.org/abs/2009.09072
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
VanBerlo, Blake, Wu, Derek, Li, Brian, Rahman, Marwan A., Hogg, Gregory, VanBerlo, Bennett, Tschirhart, Jared, Ford, Alex, Ho, Jordan, McCauley, Joseph, Wu, Benjamin, Deglint, Jason, Hargun, Jaswin, Chaudhary, Rushil, Dave, Chintan, Arntfield, Robert
Publikováno v:
In Computers in Biology and Medicine September 2022 148
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.