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Assessing Variability in Segmentation Algorithms for 3D Printing at the Point of Care

2021-10-22

Abstract excerpt

<h4>Background: </h4> 3D printing (3DP) has enabled medical professionals to create patient-specific medical devices to assist in surgical planning. Anatomical models can be generated from patient scans using a wide array of software, but there are limited studies on the geometric variance that is introduced during the digital conversion of images to models. The final accuracy of the 3D printed model is a function...

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Literature Corpus work
80911bb5-cac6-5301-91d9-8f5638052652
DOI
10.21203/rs.3.rs-841354/v2
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Assessing Variability in Segmentation Algorithms for 3D Printing at the Point of CareDOI 10.21203/rs.3.rs-841354/v2
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