| Literature DB >> 33033805 |
Nathan Robert Huber1, Andrew D Missert1, Bradley J Erickson1.
Abstract
This article shows how to train a convolutional neural network to reduce noise in CT images, although the principles apply to medical and nonmedical images; authors also explore mathematical and visually weighted loss functions to adjust the appearance. 2020 by the Radiological Society of North America, Inc.Year: 2020 PMID: 33033805 PMCID: PMC7529432 DOI: 10.1148/ryai.2020200036
Source DB: PubMed Journal: Radiol Artif Intell ISSN: 2638-6100