Impact of Image Resolution on Deep Learning Performance in Endoscopy Image Classification: An Experimental Study Using a Large Dataset of Endoscopic Images

Recent trials have evaluated the efficacy of deep convolutional neural network (CNN)-based AI systems to improve lesion detection and characterization in endoscopy. Impressive results are achieved, but many medical studies use a very small image resolution to save computing resources at the cost of...

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Bibliographic Details

Published in:	Diagnostics (Basel) Vol. 11; no. 12; p. 2183
Main Authors:	Thambawita, Vajira, Strümke, Inga, Hicks, Steven A., Halvorsen, Pål, Parasa, Sravanthi, Riegler, Michael A.
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 24.11.2021 MDPI
Subjects:	Automation Classification convolutional neural networks Datasets Deep learning endoscopic images Endoscopy Experiments image resolution Neural networks Performance evaluation endoscopic images image resolution convolutional neural networks
ISSN:	2075-4418, 2075-4418
Online Access:	Get full text
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