Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation, Photometric Conversion, or Transfer Learning

Collecting and curating large medical-image datasets for deep neural network (DNN) algorithm development is typically difficult and resource-intensive. While transfer learning (TL) decreases reliance on large data collections, current TL implementations are tailored to two-dimensional (2D) datasets,...

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Vydáno v:J Digit Imaging
Hlavní autoři: Gupta, Vikash, Demirer, Mutlu, Bigelow, Matthew, Little, Kevin J., Candemir, Sema, Prevedello, Luciano M., White, Richard D., O’Donnell, Thomas P., Wels, Michael, Erdal, Barbaros S.
Médium: Artigo
Jazyk:Inglês
Vydáno: Springer International Publishing 2019
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Original Paper
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7165215/
https://ncbi.nlm.nih.gov/pubmed/31625028
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-019-00267-3
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