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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Publicado en:	Journal of Digital Imaging Vol. 33; no. 2; pp. 431 - 439
Autores principales:	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.
Formato:	diagnostic images research tables/charts Journal Article
Publicado:	Springer Nature Apr2020
Acceso en línea:	Ver este registro en EBSCOhost