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Artificial Intelligence Segmentation Errors in Implant Planning Software Programs: An Overview
DOI:10.1111/cid.70095.png)
摘要
En 中文
静态计算机辅助种植手术(s-CAIS)利用3D影像数据指导种植体植入,以实现高精度。对CBCT和口内扫描数据的准确分割对于创建可靠解剖模型至关重要。尽管AI驱动的分割已成为减少手动工作量的有前景的解决方案,但其性能因技术和算法限制而受到阻碍。
期刊
IF:
4
论文数:
2.0K
被引数:
5.9K
机构
引用论文
A Comprehensive Review on Artificial Intelligence-Driven Preprocessing, Segmentation, and Classification Techniques for Precision Furcation Analysis in Radiographic Images人工智能驱动的放射影像精准分叉分析预处理、分割和分类技术的全面综述
Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and Challenges重新思考人工智能的数据策略和集成: 概念,机遇和挑战
The need for uncertainty quantification in machine-assisted medical decision making机器辅助医疗决策中不确定性量化的必要性
Artifacts in Dental Implant Cone-Beam Computed Tomography Scans and How Artificial Intelligence Could Help口腔种植体锥形束CT扫描中的伪影及人工智能的潜在帮助
Deep learning-based fully automatic segmentation of the maxillary sinus on cone-beam computed tomographic images
SCIENTIFIC REPORTS
IF3.9
3D Multi-Modality Medical Imaging: Combining Anatomical and Infrared Thermal Images for 3D Reconstruction
SENSORS
IF3.5
Accuracy of artificial intelligence‐based segmentation of the mandibular canal in CBCT基于人工智能的下颌管CBCT分割精度

