CM-SegNet: A deep learning-based automatic segmentation approach for medical images by combining convolution and multilayer perceptron.
Wenyu XingZhibin ZhuDongni HouYaoting YueFei DaiYifang LiLin TongYuanlin SongDean TaPublished in: Comput. Biol. Medicine (2022)
Keyphrases
- medical images
- automatic segmentation
- multilayer perceptron
- deep learning
- manual segmentation
- anatomical structures
- neural network
- abdominal organs
- artificial neural networks
- ct data
- back propagation
- medical imaging
- mr images
- ct images
- segmentation algorithm
- radial basis function
- medical image analysis
- deformable models
- unsupervised learning
- computed tomography images
- magnetic resonance
- magnetic resonance images
- region of interest
- magnetic resonance imaging
- computed tomography
- neural network model
- image processing
- machine learning
- mental models
- computer aided diagnosis
- small number
- ct scans
- computer tomography