An integrated 3D-sparse deep belief network with enriched seagull optimization algorithm for liver segmentation.
Joel DicksonArul LinselyR. J. Alice NinetaPublished in: Multim. Syst. (2023)
Keyphrases
- optimization algorithm
- liver segmentation
- deep belief networks
- ct images
- medical image processing
- multi objective
- medical image segmentation
- fully automatic
- ct data
- sparse coding
- restricted boltzmann machine
- computed tomography
- differential evolution
- optimization method
- high dimensional
- medical imaging
- unsupervised learning
- generative model
- sparse representation
- deep learning
- volume rendering
- neural network
- patient specific
- objective function
- three dimensional
- semi automatic
- intraoperative
- medical diagnosis
- image registration
- feature extraction