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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
 

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Article DOI: 10.3791/64500-v
November 30th, 2022

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Summary November 30th, 2022

An object segmentation protocol for orbital computed tomography (CT) images is introduced. The methods of labeling the ground truth of orbital structures by using super-resolution, extracting the volume of interest from CT images, and modeling multi-label segmentation using 2D sequential U-Net for orbital CT images are explained for supervised learning.

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