Deep learning for 3D cephalometric landmarking with heterogeneous multi-center CBCT dataset

Lignende værker

• Deep learning for 3D cephalometric landmarking with heterogeneous multi-center CBCT dataset.
  af: Jaakko Sahlsten, et al.
  Udgivet: (2024-01-01)
• Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT dataset
  af: Jorma Järnstedt, et al.
  Udgivet: (2023-08-01)
• Comparison of deep learning segmentation and multigrader-annotated mandibular canals of multicenter CBCT scans
  af: Jorma Järnstedt, et al.
  Udgivet: (2022-11-01)
• Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading
  af: Jaakko Sahlsten, et al.
  Udgivet: (2019-07-01)
• Automatic Cephalometric Landmark Identification System Based on the Multi-Stage Convolutional Neural Networks with CBCT Combination Images
  af: Min-Jung Kim, et al.
  Udgivet: (2021-01-01)