Article

Three-Dimensional Deep Learning to Automatically Generate Cranial Implant Geometry

2021-01-18

Abstract excerpt

We present a 3D deep learning framework that can generate a complete cranial model using a defective one. The Boolean subtraction between these two models automatically generates the geometry of the implant required for surgical reconstruction. There is little or no need for post-processing to eliminate noise in the implant model generated by the proposed approach. The framework can be used to meet the repair need...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7e6151f0-d99a-5ee1-83c2-bc5ac1671ec9
DOI: 10.21203/rs.3.rs-139772/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Three-Dimensional Deep Learning to Automatically Generate Cranial Implant GeometryDOI 10.21203/rs.3.rs-139772/v1Read

A Dual-Discriminator GAN and Point-Cloud Based Model for 3D Facial Appearance Prediction After Edentulous Implant RehabilitationSemantic proximity Read

Fully automatic segmentation of craniomaxillofacial CT scans for computer-assisted orthognathic surgery planning using the nnU-Net frameworkSemantic proximity Read

Automatic Three-Dimensional Cephalometric Landmarking via Deep LearningSemantic proximity Read

UniDCF: A Foundation Model for Comprehensive Dentocraniofacial Hard Tissue ReconstructionSemantic proximity Read

Use of Advanced Artificial Intelligence in Forensic MedicineSemantic proximity Read

Recovering Mandibular Morphology after Disease with Artificial IntelligenceSemantic proximity Read

Accuracy and Reliability of 3D Cephalometric Landmark Detection with Deep LearningSemantic proximity Read

Morphological Information Extraction in medical imaging using deep learning interpretability: application case on craniofacial dysmorphismSemantic proximity Read

Optimizing Dental Implant Identification using Deep Learning Leveraging Artificial DataSemantic proximity Read

Predicting cranial MRI anatomy from 3D optical surface scans using deep learning for radiation therapy treatment planningSemantic proximity Read

Accuracy and Generalizability of an Open-Source Deep Learning Model For Facial Bone Segmentation on CT and CBCT ScansSemantic proximity Read

NDDR: Neural Dual-Domain Representation for High-Fidelity Dental Mesh CompressionSemantic proximity Read