G |
Graph |
V |
Vertex of Graph |
E |
Edge of Graph |
|
The i-th Edge of Graph |
|
Weight of the i-th Edge |
s |
Starting point(initial vertex) |
|
Initial distance of starting point |
S |
The set of vertices with known shortest path |
Q |
The set of vertices not in S
|
∅ |
Empty set |
u |
Vertex of shortest path in Q
|
|
The set of neighbor vertices of u
|
v |
The element of
|
3D |
three dimensional |
CT |
Computed Tomography |
MR |
Magnetic Resonance |
MRI |
Magnetic Resonance Imaging |
US |
ultrasound |
OCT |
Optical Coherence Tomography |
PET |
Positron Emission computed Tomography |
DICOM |
Digital Imaging and Communications in Medicine |
ROI |
Region of Interest |
ACM |
active contour model |
CNN |
Convolutional Neural Networks |
RRT* |
Rapidly exploring Random Tree Star |
DT |
Distance Transform |
DL |
deep learning |
FMM |
Fast Marching Method |
GWDT |
Gray Weighted Distance Transform |
ITK |
The Insight Toolkit |
VTK |
The Visualization Toolkit |
MITK |
The Medical Imaging Interaction Toolkit |
TP |
true positives |
FP |
false positives |
TN |
true negatives |
FN |
false negatives |
TPR |
true positive rate |
FPR |
false positive rate |
FNR |
false negative rate |
RMSE |
root mean standard error |
HD |
Hausdorff distance |
SLIVER07 |
the Segmentation of the Liver Competition 2007 |
LiTS |
Liver Tumor Segmentation |
CHAOS |
Combined (CT-MR) Healthy Abdominal Organ Segmentation |
3D-IRCADb-01 |
3D Image Reconstruction for Comparison of Algorithm Database |
TCGA-LIHC |
The Cancer Genome Atlas Liver Hepatocellular Carcinoma |
MSD |
Medical Segmentation Decathlon |
ISBI |
The IEEE International Symposium on Biomedical Imaging |
MICCAI |
International Conference on Medical Image Computing and Computer |
|
Assisted Intervention |