Towards the Automatization of Cranial Implant Design in Cranioplasty
Springer International Publishing (Verlag)
978-3-030-64326-3 (ISBN)
The 10 papers presented together with one invited paper and a dataset descriptor in this volume were carefully reviewed and selected form numerous submissions. This challenge aims to provide more affordable, faster, and more patient-friendly solutions to the design and manufacturing of medical implants, including cranial implants, which is needed in order to repair a defective skull from a brain tumor surgery or trauma. The presented solutions can serve as a good benchmark for future publications regarding 3D volumetric shape learning and cranial implant design.
Patient Specific Implants (PSI): Cranioplasty in the Neurosurgical Clinical Routine.- Dataset Descriptor for the AutoImplant Cranial Implant Design Challenge.- Automated Virtual Reconstruction of Large Skull Defects using Statistical Shape Models and Generative Adversarial Networks.- Cranial Implant Design through Multiaxial Slice Inpainting using Deep Learning.- Cranial Implant Design via Virtual Craniectomy with Shape Priors.- Deep Learning Using Augmentation via Registration: 1st Place Solution to the AutoImplant 2020 Challenge.- Cranial Defect Reconstruction using Cascaded CNN with Alignment.- Shape Completion by U-Net: An Approach to the AutoImplant MICCAI Cranial Implant Design Challenge.- Cranial Implant Prediction using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement.- Cranial Implant Design Using a Deep Learning Method with Anatomical Regularization.- High-resolution Cranial Implant Prediction via Patch-wise Training.- Learning Volumetric Shape Super-Resolution for Cranial Implant Design.
| Erscheinungsdatum | 04.01.2021 |
|---|---|
| Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
| Zusatzinfo | XVI, 115 p. 76 illus., 72 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 215 g |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Sozialwissenschaften | |
| Schlagworte | Applications • Artificial Intelligence • Computer Science • computer vision • conference proceedings • cranial implant design • craniectomy • cranioplasty • Craniotomy • Deep learning • Image Analysis • Image Processing • image reconstruction • Informatics • machine learning • Neural networks • reconstruction • Research • shape completion • shape prior • skull reconstruction • statistical shape model |
| ISBN-10 | 3-030-64326-3 / 3030643263 |
| ISBN-13 | 978-3-030-64326-3 / 9783030643263 |
| Zustand | Neuware |
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