Point Cloud Registration for Measuring Shape Dependence of Soft Tissue Deformation by Digital Twins in Head and Neck Surgery
Introduction: A 2½ D point cloud registration method was developed to generate digital twins of different tissue shapes and resection cavities by applying a machine learning (ML) approach. This demonstrates the feasibility of quantifying soft tissue shifts. Methods: An ML model was trained using sim...
Main Authors: | Sara Monji-Azad, David Männle, Jürgen Hesser, Jan Pohlmann, Nicole Rotter, Annette Affolter, Cleo Aron Weis, Sonja Ludwig, Claudia Scherl |
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Format: | Article |
Language: | English |
Published: |
Karger Publishers
2024-01-01
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Series: | Biomedicine Hub |
Subjects: | |
Online Access: | https://beta.karger.com/Article/FullText/535421 |
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