Automatic multi-modality segmentation of gross tumor volume for head and neck cancer radiotherapy using 3D U-Net.
Zhe GuoNing GuoKuang GongQuanzheng LiPublished in: Medical Imaging: Computer-Aided Diagnosis (2019)
Keyphrases
- lymph nodes
- multi modality
- lung cancer
- medical images
- cancer patients
- treatment planning
- cancer diagnosis
- multi modal
- radiation dose
- imaging modalities
- treatment plan
- multimodal images
- clinical applications
- ct data
- ct images
- cancer cells
- prostate cancer
- medical image registration
- automatic segmentation
- image registration
- normal tissue
- medical image analysis
- breast cancer
- information theoretic
- medical imaging
- medical data
- clinical data
- fully automatic
- computed tomography
- anatomical structures
- deformable models
- segmentation algorithm
- tissue samples
- accurate segmentation
- brain tumors
- x ray
- ct scans
- magnetic resonance
- segmentation method
- cancer treatment
- image processing
- radiotherapy treatment
- radiation therapy
- level set
- mutual information
- image segmentation
- image guided