A Tversky Loss-Based Convolutional Neural Network for Liver Vessels Segmentation.
Nicola AltiniBerardino PrencipeAntonio BrunettiGioacchino BrunettiVito TriggianiLeonarda CarnimeoFrancescomaria MarinoAndrea GuerrieroLaura VillaniArnaldo ScardapaneGiacomo Donato CascaranoPublished in: ICIC (1) (2020)
Keyphrases
- convolutional neural network
- vessel segmentation
- face detection
- tubular structures
- image segmentation
- segmentation algorithm
- region growing
- shape prior
- ct images
- medical images
- seed points
- white blood
- computed tomography angiography
- organ segmentation
- object segmentation
- level set
- fully automatic
- medical imaging
- segmentation method
- multiscale
- graph cuts
- probabilistic atlas
- semi automatic segmentation
- accurate segmentation
- detection method
- vessel enhancement
- markov random field
- support vector