Imaging Markers Derived From MRI-Based Automated Kidney Segmentation.
Elias KellnerPeggy SekulaJan LipovsekMaximilian RusseHarald HorbachChristopher L SchlettMatthias NauckHenry VölzkeThomas KroenckeStefanie BetteHans-Ulrich KauczorThomas KeilTobias PischonIris M HeidAnnette PetersThoralf NiendorfWolfgang LiebFabian BambergMartin BüchertWilfried ReichardtMarco ReisertAnna KöttgenPublished in: Deutsches Arzteblatt international (2024)
The extraction of image-based biomarkers through CNN-based renal sub-segmentation using data from a population-based study yields reliable results, forming a solid foundation for future investigations.
Keyphrases
- deep learning
- convolutional neural network
- artificial intelligence
- high resolution
- machine learning
- big data
- magnetic resonance imaging
- contrast enhanced
- electronic health record
- current status
- diffusion weighted imaging
- computed tomography
- fluorescence imaging
- magnetic resonance
- photodynamic therapy
- data analysis