Abdominal artery segmentation method from CT volumes using fully convolutional neural network.
Masahiro OdaHolger R. RothTakayuki KitasakaKazunari MisawaMichitaka FujiwaraKensaku MoriPublished in: Int. J. Comput. Assist. Radiol. Surg. (2019)
Keyphrases
- segmentation method
- convolutional neural network
- automated segmentation
- ct data
- x ray
- ct scans
- face detection
- ct volume
- automatic segmentation
- computed tomography
- region growing
- segmentation algorithm
- three dimensional
- ct images
- image segmentation
- active contour model
- coronary artery
- active contours
- medical imaging
- medical images
- shape prior
- model based segmentation
- energy function
- intraoperative
- object segmentation
- patient specific
- segmentation result
- ultrasound image segmentation
- neural network
- image reconstruction
- method for image segmentation
- image segmentation methods
- watershed segmentation
- intensity information
- segmented images
- lymph nodes
- respiratory motion
- level set
- segmentation scheme
- clinical applications
- statistical shape model
- region of interest
- edge detection