Computational anatomy for multi-organ analysis in medical imaging: A review
The medical image analysis field has traditionally been focused on the development of
organ-, and disease-specific methods. Recently, the interest in the development of more …
organ-, and disease-specific methods. Recently, the interest in the development of more …
Superpixel-based segmentation for 3D prostate MR images
This paper proposes a method for segmenting the prostate on magnetic resonance (MR)
images. A superpixel-based 3D graph cut algorithm is proposed to obtain the prostate …
images. A superpixel-based 3D graph cut algorithm is proposed to obtain the prostate …
Automated anatomical landmark detection ondistal femur surface using convolutional neural network
Accurate localization of the anatomical landmarks on distal femur bone in the 3D medical
images is very important for knee surgery planning and biomechanics analysis. However …
images is very important for knee surgery planning and biomechanics analysis. However …
Hierarchical vertex regression-based segmentation of head and neck CT images for radiotherapy planning
Segmenting organs at risk from head and neck CT images is a prerequisite for the treatment
of head and neck cancer using intensity modulated radiotherapy. However, accurate and …
of head and neck cancer using intensity modulated radiotherapy. However, accurate and …
A novel multi-atlas strategy with dense deformation field reconstruction for abdominal and thoracic multi-organ segmentation from computed tomography
Anatomical evaluation of multiple abdominal and thoracic organs is generally performed
with computed tomography images. Owing to the large field-of-view of these images …
with computed tomography images. Owing to the large field-of-view of these images …
Collaborative multi-agent learning for MR knee articular cartilage segmentation
The 3D morphology and quantitative assessment of knee articular cartilages (ie, femoral,
tibial, and patellar cartilage) in magnetic resonance (MR) imaging is of great importance for …
tibial, and patellar cartilage) in magnetic resonance (MR) imaging is of great importance for …
Interactive deformation of heterogeneous volume data
R Torres, JM Espadero, FA Calvo… - … Symposium on Biomedical …, 2014 - Springer
This paper presents a method to interactively deform volume images with heterogeneous
structural content, using coarse tetrahedral meshes. It rests on two major components: a …
structural content, using coarse tetrahedral meshes. It rests on two major components: a …
[BUKU][B] Finite Element Method and Medical Imaging Techniques in Bone Biomechanics
RB Kahla, A Barkaoui, T Merzouki - 2019 - books.google.com
Digital models based on data from medical images have recently become widespread in the
field of biomechanics. This book summarizes medical imaging techniques and processing …
field of biomechanics. This book summarizes medical imaging techniques and processing …
Machine Learning Based Image Segmentation for Large-Scale Osteoarthritis Analysis
C Tan - 2020 - search.proquest.com
Osteoarthritis (OA) is the most common degenerative joint disease worldwide, tending to
occur in the joints of hip and knee. Large adult population in the United States have been …
occur in the joints of hip and knee. Large adult population in the United States have been …
[BUKU][B] Méthode des éléments finis et techniques d'imagerie médicale en biomécanique osseuse
RB Kahla, A Barkaoui, T Merzouki - 2020 - books.google.com
Les modèles numériques basés sur les données d'images médicales ont récemment été
appliqués en biomécanique. Cet ouvrage a pour objectif de résumer et préciser les …
appliqués en biomécanique. Cet ouvrage a pour objectif de résumer et préciser les …