Densely Connected Recurrent Residual (Dense R2UNet) Convolutional Neural Network for Segmentation of Lung CT Images.
Kaushik DuttaPublished in: CoRR (2021)
Keyphrases
- ct images
- medical images
- densely connected
- convolutional neural network
- medical imaging
- pet ct
- liver segmentation
- lung parenchyma
- lung nodules
- computed tomography
- computer tomography
- fracture detection
- anatomical knowledge
- ct scans
- ground glass opacity
- pet images
- automated segmentation
- segmentation method
- nodule detection
- image segmentation
- region of interest
- level set
- treatment planning
- magnetic resonance imaging
- lymph nodes
- information networks
- medical image segmentation
- weighted graph
- magnetic resonance
- three dimensional
- face recognition
- image analysis
- lung cancer
- segmentation algorithm
- fully automatic
- face detection
- computer aided diagnosis
- computer vision
- community structure
- shape prior
- radiation therapy
- medical image processing
- ct data
- image guided