Weighted Monte Carlo augmented spherical Fourier-Bessel convolutional layers for 3D abdominal organ segmentation.
Wenzhao ZhaoSteffen AlbertBarbara D. WichtmannAngelika MaurerUlrike I. AttenbergerFrank G. ZöllnerJürgen HesserPublished in: CoRR (2024)
Keyphrases
- monte carlo
- organ segmentation
- liver segmentation
- medical image processing
- abdominal organs
- ct data
- fully automatic
- ct images
- medical image segmentation
- volume rendering
- monte carlo simulation
- computed tomography
- importance sampling
- automatic segmentation
- markov chain
- intraoperative
- medical images
- ct scans
- monte carlo methods
- computer aided diagnosis
- medical imaging
- image reconstruction
- level set
- monte carlo tree search
- adaptive sampling
- statistical shape model
- markovian decision
- patient specific
- semi automatic
- computer vision
- graphics hardware
- particle filter
- image segmentation
- image processing
- game tree
- level set method
- medical diagnosis
- computer aided
- variance reduction
- matrix inversion
- frequency domain
- graphical models
- machine learning