SEGMENTATION OF COMPUTED TOMOGRAPHY VOXEL DATA USING MACHINE LEARNING

SEGMENTATION OF COMPUTED TOMOGRAPHY VOXEL DATA USING MACHINE LEARNING

Examples described herein provide a method that includes creating two-dimensional (2D) slices from a plurality of computed tomography (CT) voxel data sets. The method further includes adding artificial noise to the 2D slices to generate artificially noisy 2D slices. The method further includes creat...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: STIEBEINER, Ariane, VEKARIYA, Vivek Vrujlal, BALATZIS, Georgios
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Beschreibung
Zusammenfassung:Examples described herein provide a method that includes creating two-dimensional (2D) slices from a plurality of computed tomography (CT) voxel data sets. The method further includes adding artificial noise to the 2D slices to generate artificially noisy 2D slices. The method further includes creating patches from the 2D slices and the artificially noisy 2D slices. The method further includes training an autoencoder using the patches.