Head and neck surgery is a fine surgical procedure with a complex anatomical space,
difficult operation and high risk. Medical image computing (MIC) that enables accurate and …

Objectives This systematic review and meta-analysis aimed to investigate the accuracy and
efficiency of artificial intelligence (AI)-driven automated landmark detection for cephalometric …

Medical image landmark detection can automatically determine the pre-set position
coordinates in medical images, so as to further assist disease diagnosis and treatment …

Landmark detection using X-ray imaging is vital for disease screening, treatment, and
prognosis. It provides a framework for subsequent tasks, including segmentation …

In medical image analysis, anatomical landmarks usually contain strong prior knowledge of
their structural information. In this paper, we propose to promote medical landmark …

Heatmap-based anatomical landmark detection is still facing two unresolved challenges: 1)
inability to accurately evaluate the distribution of heatmap; 2) inability to effectively exploit …

Pelvic landmark detection is a significant pre-task to measure the clinical measurement in
pelvic abnormality analysis. Accurate pelvic landmark detection could provide reliable …

Accurate detection of 3D landmarks is critical for evaluating and characterizing anatomical
features and performing preoperative diagnostic screening. However, detecting 3D …

Objectives The objectives of this study are to explore and evaluate the automation of
anatomical landmark localization in cephalometric images using machine learning …

Accurate detection of 3D medical landmarks is critical for evaluating and characterizing
anatomical features and performing preoperative planning. However, detecting 3D …