Deep Learning with Limited Data: Organ Segmentation Performance by U-Net

Deep Learning with Limited Data: Organ Segmentation Performance by U-Net

(1) Background: The effectiveness of deep learning artificial intelligence depends on data availability, often requiring large volumes of data to effectively train an algorithm. However, few studies have explored the minimum number of images needed for optimal algorithmic performance. (2) Methods: T...

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Bibliographic Details
Main Authors: Michelle Bardis, Roozbeh Houshyar, Chanon Chantaduly, Alexander Ushinsky, Justin Glavis-Bloom, Madeleine Shaver, Daniel Chow, Edward Uchio, Peter Chang
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Electronics
Subjects:
training size
deep learning
convolutional neural network
U-Net
segmentation
artificial intelligence
Online Access:https://www.mdpi.com/2079-9292/9/8/1199

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https://www.mdpi.com/2079-9292/9/8/1199

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