In many medical image analysis applications, only a limited amount of training data is
available due to the costs of image acquisition and the large manual annotation effort …

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 …

In this study, we propose a fast and accurate method to automatically localize anatomical
landmarks in medical images. We employ a global-to-local localization approach using fully …

Automatic detection of anatomical landmarks is an important step for a wide range of
applications in medical image analysis. Manual annotation of landmarks is a tedious task …

Abstract Background and Objective An accurate lateral cephalometric analysis is vital in
orthodontic diagnosis. Identification of anatomic landmarks on lateral cephalograms is …

In this paper, we propose a novel deep learning framework for anatomy segmentation and
automatic landmarking. Specifically, we focus on the challenging problem of mandible …

Cephalometric analysis is a fundamental examination which is widely used in orthodontic
diagnosis and treatment planning. Its key step is to detect the anatomical landmarks in …

Automatic vertebrae localization and segmentation in computed tomography (CT) are
fundamental for spinal image analysis and spine surgery with computer-assisted surgery …

Localization and segmentation of vertebral bodies from spine CT volumes are crucial for
pathological diagnosis, surgical planning, and postoperative assessment. However, fully …

Marking anatomical landmarks in cephalometric radiography is a critical operation in
cephalometric analysis. Automatically and accurately locating these landmarks is a …