Titlebook: Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures; 4th International Wo M. Jorge Cardoso,Tal Arbel,Raj Shekhar Co

Nmda-Receptor

許可

高度表

Progressive Hand-Eye Calibration for Laparoscopic Surgery Navigation An invariant dot was imaged by a stereo laparoscopy, the 2D image coordinate of the invariant dot was calculated by the blob detection algorithm, and mapped into the 3D coordinate system by the triangulation. In the meanwhile, reflective passive markers (RPM) fixed on the distal end of a stereo lap

gruelling

Learning Camera Pose from Optical Colonoscopy Frames Through Deep Convolutional Neural Network (CNN)ct to the colon surface is important as it would help localization of cancerous polyps for subsequent surgery and facilitate navigation. Knowing camera pose is also essential for 3D automatic scene reconstruction, which could support clinicians inspecting the whole colon surface thereby reducing mis

冷淡一切

Motion Vector for Outlier Elimination in Feature Matching and Its Application in SLAM Based Laparoscetected on organ surface in laparoscopic images plays an important role not only in laparoscopic tracking but also in organ surface shape reconstruction. However, many factors such as the deformation of the organ or the movement of the surgical tools result to the outliers in matched feature points,

GEST

Image-Based Smoke Detection in Laparoscopic Videosy entailing serious deleterious health effects. Hence, state-of-the-art surgical procedures employ smoke evacuation systems, which often still are activated manually by the medical staff or less commonly operate automatically utilizing industrial, highly-specialized and operating room (OR) approved

NADIR

Fully Automatic Detection of Distal Radius Fractures from Posteroanterior and Lateral Radiographs estimated to be about 18% of the fractures seen in adults and 25% of those seen in children. Unfortunately such fractures are amongst the most frequently missed by doctors in Emergency Departments (EDs). A system which can identify suspicious areas could reduce the number of misdiagnoses. We automa

改良

Automated Characterization of Pyelocalyceal Anatomy Using CT Urograms to Aid in Management of Kidneyrgical treatment of kidney stones is generally based on the size and quality of the stones, studies have suggested that specific characteristics of the pyelocalyceal anatomy (i.e. urinary drainage system), such as the infundibulopelvic angle (IPA), can influence the success rate of various treatment

迅速成長

Local Phase-Based Learning for Needle Detection and Localization in 3D Ultrasounda linear learning-based pixel classifier that utilizes Histogram of Oriented Gradients descriptors extracted from local phase projections. The detector automatically identifies slices of the volume that contain needle data, reducing the needle search space. Needle tip enhancement is performed on a p

GRAIN

Intracranial Volume Quantification from 3D Photographytification is not possible with current non-invasive imaging systems in order to evaluate brain development in children with cranial pathology. The aim of this study is to develop an automated, radiation-free framework to estimate ICV. Pairs of computed tomography (CT) images and 3D photographs were