Segmentation-Free Outcome Prediction in Head and Neck Cancer: Deep Learning-based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs) of PET Images.
Amirhosein ToosiIsaac ShiriHabib ZaidiArman RahmimPublished in: CoRR (2024)
Keyphrases
- lymph nodes
- pet images
- deep learning
- outcome prediction
- feature extraction
- automatic detection
- lung cancer
- cancer diagnosis
- automatic segmentation
- unsupervised learning
- ct images
- ct data
- mr images
- positron emission tomography
- genomic data
- ct scans
- breast cancer
- machine learning
- region growing
- image processing
- computed tomography
- level set
- medical images
- clinical applications
- dimensionality reduction
- image segmentation
- partial volume
- blood vessels
- feature space
- accurate segmentation
- principal component analysis
- magnetic resonance
- segmentation algorithm
- cancer classification
- pairwise
- co occurrence
- magnetic resonance imaging
- decision trees
- high dimensional data