Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks.
Yuankai HuoZhoubing XuShunxing BaoCamilo BermudezAndrew J. PlassardJiaqi LiuYuang YaoAlbert AssadRichard G. AbramsonBennett A. LandmanPublished in: Medical Imaging: Image Processing (2018)
Keyphrases
- segmentation algorithm
- medical images
- image segmentation
- kernel methods
- segmentation method
- object segmentation
- level set
- linear combination
- global shape
- region growing
- medical imaging
- support vector
- multiscale
- generative model
- social networks
- multiresolution
- image analysis
- fully unsupervised
- segmentation accuracy
- energy function
- complex networks
- machine learning
- input image
- image processing
- image sequences
- shape model
- image regions
- kernel function
- feature space
- active contours
- neural network