Fully automated detection of primary sclerosing cholangitis (PSC)-compatible bile duct changes based on 3D magnetic resonance cholangiopancreatography using machine learning.
Kristina Imeen RingeVan Dai Vo ChieuFrank WackerHenrike LenzenMichael P MannsChristian HundtBertil SchmidtHinrich B WintherPublished in: European radiology (2020)
• The described machine learning algorithm is able to detect PSC-compatible cholangiographic changes on 3D-MRCP images with high accuracy. • The generation of 2D projections from 3D datasets enabled the implementation of an ensemble strategy to boost inference performance.
Keyphrases
- machine learning
- deep learning
- magnetic resonance
- convolutional neural network
- artificial intelligence
- primary care
- single cell
- big data
- healthcare
- rna seq
- loop mediated isothermal amplification
- real time pcr
- quality improvement
- neural network
- optical coherence tomography
- contrast enhanced
- magnetic resonance imaging
- high throughput
- ulcerative colitis
- quantum dots