Peripheral bronchial identification on chest CT using unsupervised machine learning.
Daniel Aaron MosesLaughlin DawesClaude SammutTatjana ZrimecPublished in: International journal of computer assisted radiology and surgery (2018)
We have constructed a robust algorithm for automatic detection of small- to medium-diameter bronchial segments throughout the lungs using a combination of knowledge-based approaches and unsupervised machine learning. It appears robust over two different CT vendors with similar acquisition parameters.
Keyphrases
- machine learning
- image quality
- dual energy
- artificial intelligence
- computed tomography
- contrast enhanced
- deep learning
- big data
- healthcare
- positron emission tomography
- wastewater treatment
- magnetic resonance imaging
- magnetic resonance
- label free
- real time pcr
- bioinformatics analysis
- quantum dots
- neural network
- sensitive detection
- chemotherapy induced