3D Segmentation and Registration for Minimal Invasive Prostate - France
2D-3D Image Registration for Image Guided Intraoperative
IGRT is routine practice and works with close relationships to computer-assisted visualization minimally invasive surgery and interventional radiology ( |
3D modelling system for diagnosis and treatment planning of
This dissertation focuses on the methods of MR prostate image segmentation and the The 3D Slicer supports rigid manual registration by allowing the user to |
3D Segmentation and Registration for Minimal Invasive Prostate
20 mar 2014 · This thesis is performed in the context of the ANR TecSan MULTIP (Matrice de transducteurs Ultrasonores pour La Thérapie et l'Imagerie de la |
A review of 3D/2D registration methods for image-guided interventions
In image-guided minimally invasive surgery the registration of pre- and intra-interventional data and instrument tracking provide surgeon with information |
THESE DE DOCTORAT DE LETABLISSEMENT UNIVERSITE
with minimal manual interaction in medical image segmentation applications The method was tested in intraoperative TRUS and postoperative CT images of |
3D Segmentation and Registration for Minimal Invasive Prostate |
Self-Calibrating 3D-Ultrasound-Based Bone Registration for |
Ultrasound imaging and segmentation of bone surfaces: A review |
A Comparison of 2D-3D Intensity-Based Registration and Feature |
Silhouette-based Pose Estimation for Deformable Organs |
3D Printed Patient Specific Surgical Guide for Spine Registration |
The Impact of Machine Learning on 2D/3D Registration for Image |
2D-3D Registration of Vascular Images |
A review of 3D/2D registration methods for image-guided interventions |
Intensity-based Registration versus Feature-based Registration for |
PROSTATE SEGMENTATION IN MR IMAGES USING ENSEMBLE
neural networks (DCNNs) to address prostate segmentation in MR images First, we use registration-based coarse segmentation equal to the truncation threshold defined for non-ERC scans; b) Shanbhogue, J Hernandez, et al , " Prostate MRI: access to and Segmentation (PROMISE 2012), Oct 1, 2012, Nice, France |