Titlebook: Computer-Assisted and Robotic Endoscopy; First International Xiongbiao Luo,Tobias Reichl,Timothy Soper Conference proceedings 2014 Springe

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Video-Specific SVMs for Colonoscopy Image Classification, V-SVM is an ensemble of linear SVMs, with each trained to separate the abnormal images in a particular video from all the normal images in all the videos. Since V-SVM is designed to capture lesion-specific properties as well as intra-class variations it is expected to perform better than SVM. Exper

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Firefly

Androgen

Cerebral Ventricle Segmentation from 3D Pre-term IVH Neonate MR Images Using Atlas-Based Convex Optrm neonates. Infants with IVH are at risk of developing progressive dilatation of the ventricles, a pathology called hydrocephalus. The ventricular size of patients with mild enlargement of cerebral ventricles is monitored by ultrasound or MR imaging of the brain for 1–2 years, as they are at risk o

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Fully Automatic CT Segmentation for Computer-Assisted Pre-operative Planning of Hip Arthroscopy,dressed. We present a method for a fully automatic image segmentation of a hip joint. Our method works by combining fast random forest (RF) regression based landmark detection, atlas-based segmentation, with articulated statistical shape model (aSSM) based hip joint reconstruction. The two fundament

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A Comparative Study of Ego-Motion Estimation Algorithms for Teleoperated Robotic Endoscopes,onoscopy is the most-commonly adopted visual screening procedure of the colon by means of a flexible tiny endoscopic camera. In an effort to promote early screening and to facilitate mastering the endoscope motion by the physician, teleoperable robotic endoscopes and wireless capsules are being deve

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Algorithms for Automated Pointing of Cardiac Imaging Catheters,to improve treatment of cardiac arrhythmias such as atrial fibrillation. Presented here are a new method for controlling the position and orientation of a catheter, smoother and more accurate automated catheter motion, and initial results of image processing into clinically useful displays. Ultrasou

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Endoscopic Sheffield Index for Unsupervised , Spectral Band Selection,sible organ surfaces. Spectral imaging has high potential in generating valuable complementary information about the molecular tissue composition but suffers from long image acquisition times. As the technique requires an aligned stack of images, its benefit in endoscopic procedures is still very li