A robust and accurate approach to automatic blood vessel detection and segmentation from angiography x-ray images using multistage random forests.
Vipin GuptaAmit KaleHari SundarPublished in: Medical Imaging: Computer-Aided Diagnosis (2012)
Keyphrases
- multistage
- random forests
- x ray images
- x ray
- ct and mr images
- vessel detection
- medical images
- random forest
- fracture detection
- lung nodules
- medical imaging
- decision trees
- blood vessels
- machine learning algorithms
- stochastic programming
- retinal images
- single stage
- dynamic programming
- image segmentation
- ensemble methods
- computer aided surgery
- intraoperative
- logistic regression
- segmentation algorithm
- ct images
- optimal policy
- clinical data sets
- object recognition
- decision tree ensembles
- ct scans
- accurate segmentation
- prediction accuracy
- dual energy
- sufficient conditions
- three dimensional