Fig. 1: The overview of the study design, including the deep learning imaging signature (DLIS) development and validation. | Laboratory Investigation

Fig. 1: The overview of the study design, including the deep learning imaging signature (DLIS) development and validation.

From: Predicting 1p/19q co-deletion status from magnetic resonance imaging using deep learning in adult-type diffuse lower-grade gliomas: a discovery and validation study

Fig. 1

The architecture of the deep convolutional neural network is also shown. T1w, T1c, T2w, and FLAIR are short for T1-weighted, T1-weighted gadolinium contrast-enhanced, T2-weighted, and fluid-attenuated inversion recovery imaging, respectively.

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