Titlebook: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2010; 13th International C Tianzi Jiang,Nassir Navab,Max A. Viergever

RECUR

Fillet,Filet

Hongsheng Li,Tian Shen,Dimitrios Vavylonis,Xiaolei Huanghighlight some of the most important analytical methods: separation of the variables and integral transforms, as well as numerical methods, the difference method and finite element method. We also have included one section on level set to emphasize the geometric aspect of PDEs. The class of differen

爭議的蘋果

Confirm

BIAS

inhumane

Automatic Detection and Segmentation of Axillary Lymph Nodesased method for the automatic detection of solid lymph nodes from Computed Tomography data. The contributions of the paper are the following. First, it presents a learning based approach to lymph node detection based on Marginal Space Learning. Second, it presents an efficient MRF-based segmentation

羅盤

嚴(yán)厲批評(píng)

Vessel Segmentation for Ablation Treatment Planning and Simulatione developed method is a semiautomatic hybrid based on multi-scale vessel enhancement combined with ridge-oriented region growing and skeleton-based postprocessing. In addition, an interactive tool for segmentation refinement was developed. Four instances of three-phase contrast enhanced computed tom

Acclaim

壓倒性勝利

Anatomically-Driven Soft-Tissue Simulation Strategy for Cranio-Maxillofacial Surgery Using Facial Mubased facial muscle reconstruction was introduced to minimize the efforts on preparing a patient-specific model. A transversely isotropic mass-tensor model (MTM) was adopted to realize the effect of directional property of facial muscles in reasonable computation time. Additionally, sliding contact