Tumor Segmentation and Feature Extraction from Whole-Body FDG-PET/CT Using Cascaded 2D and 3D Convolutional Neural Networks.
Skander JemaaJill FredricksonRichard A. D. CaranoTina NielsenAlex de CrespignyThomas BengtssonPublished in: J. Digit. Imaging (2020)
Keyphrases
- segmentation and feature extraction
- convolutional neural networks
- treatment planning
- pet ct
- ct images
- pet images
- computed tomography
- ct scans
- medical images
- lymph nodes
- image guided
- contrast enhanced
- brain tumors
- computer aided
- clinical applications
- x ray
- computer tomography
- deformable registration
- mri images
- medical imaging
- ct data
- breast cancer
- radiation therapy
- three dimensional
- automated segmentation
- cancer diagnosis
- image reconstruction
- magnetic resonance imaging
- automatic detection
- automatic segmentation
- imaging modalities
- lung cancer
- positron emission tomography
- mri data
- magnetic resonance
- image analysis