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Spine

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Automatic Vertebrae Localization and Identification by Combining Deep SSAE Contextual Features and Structured Regression Forest.

Journal of digital imaging
Automatic vertebrae localization and identification in medical computed tomography (CT) scans is of great value for computer-aided spine diseases diagnosis. In order to overcome the disadvantages of the approaches employing hand-crafted, low-level fe...

Robotic Spine Exoskeleton (RoSE): Characterizing the 3-D Stiffness of the Human Torso in the Treatment of Spine Deformity.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Spine deformity is typically treated with a brace that fits around the torso and hips to correct the abnormal curve of the spine. While bracing has been shown to curtail progression of abnormal spine curves, current braces impose several limitations ...

CAMISS Concept and Its Clinical Application.

Advances in experimental medicine and biology
This chapter intends to provide an overview of computer-assisted minimally invasive spine surgery (CAMISS) and its clinical application. Since minimally invasive spine surgery was first brought out, the concept of decreasing the damage to patient was...

Detection and Labeling of Vertebrae in MR Images Using Deep Learning with Clinical Annotations as Training Data.

Journal of digital imaging
The purpose of this study was to investigate the potential of using clinically provided spine label annotations stored in a single institution image archive as training data for deep learning-based vertebral detection and labeling pipelines. Lumbar a...

Current applications of robotics in spine surgery: a systematic review of the literature.

Neurosurgical focus
OBJECTIVE Surgical robotics has demonstrated utility across the spectrum of surgery. Robotics in spine surgery, however, remains in its infancy. Here, the authors systematically review the evidence behind robotic applications in spinal instrumentatio...