Multi-organ CT segmentation using shifted-window multilayer perceptron mixer.
Shaoyan PanJacob F. WynneMingzhe HuTonghe WangJustin RoperPretesh PatelTian LiuXiaofeng YangPublished in: Medical Imaging: Image-Guided Procedures (2023)
Keyphrases
- multilayer perceptron
- medical images
- neural network
- artificial neural networks
- medical imaging
- computed tomography
- ct images
- radial basis function
- back propagation
- probabilistic neural networks
- mri images
- anatomical structures
- level set
- hidden layer
- inter patient
- segmentation algorithm
- image segmentation
- abdominal organs
- commonly applied
- neural network model
- image slices
- computer tomography
- activation function
- modular neural network
- organ segmentation
- brain mri
- neuro fuzzy models
- ct data
- feedforward neural networks
- magnetic resonance
- computer vision
- deformable models
- x ray
- image processing
- liver segmentation
- machine learning
- magnetic resonance images
- lymph nodes
- input vector
- image reconstruction
- ct scans
- feed forward
- data sets
- image registration
- fuzzy logic
- similarity measure
- decision trees
- artificial intelligence