Article

Applications of Synthetic Data Integration for Deep Learning for Volumetric Analysis and Segmentation in Thoracic CT Imaging

2024-11-01

Abstract excerpt

This study presents a framework for processing Digital Imaging and Communications in Medicine (DICOM) medical imaging data by integrating synthetic objects for volumetric analysis and simulation for applications in assessment of computed tomography (CT) imaging used in thoracic surgery. Functions are designed to generate synthetic objects including geometric shapes such as spheres, cubes, rectangular prisms, cylin...

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Literature Corpus work: d549026a-5481-5b08-b95b-50cd3a2640b2
DOI: 10.1101/2024.10.30.24316446

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