A Benchmark Dataset for Automatic Cephalometric Landmark Detection and CVM Stage Classification
Single, end-to-end trainable, multi-head CNN architecture for automatic cephalometric landmark detection
Neural Network architecture to perform Cephalometric landmarks detection.
Locate basic landmarks on cephalograms with AI (Pytorch)
CEPHA29 Automatic Cephalometric Landmark Detection Challenge
Cephalometry Using YOLOv9 A computer vision project that applies YOLOv9 object detection for automated cephalometric analysis in dental and orthodontic imaging. This project enables precise detection and measurement of anatomical landmarks in cephalometric X-ray images.
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