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Transfer learning for non-image data in clinical research: A scoping review.

<h4>Background</h4>Transfer learning is a form of machine learning where a pre-trained model trained on a specific task is reused as a starting point and tailored to another task in a different dataset. While transfer learning has garnered considerable attention in medical image analysis, its use fo...

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Principais autores: Andreas Ebbehoj, Mette Østergaard Thunbo, Ole Emil Andersen, Michala Vilstrup Glindtvad, Adam Hulman
פורמט: Artigo
שפה:Inglês
יצא לאור: Public Library of Science (PLoS) 2022-02-01
סדרה:PLOS Digital Health
גישה מקוונת:https://journals.plos.org/digitalhealth/article/file?id=10.1371/journal.pdig.0000014&type=printable
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