Deep learning prediction of non-perfused volume without contrast agents during prostate ablation therapy.
Cameron WrightPietari MäkeläAlexandre BigotMikael AnttinenPeter J BoströmRoberto Blanco SequeirosPublished in: Biomedical engineering letters (2022)
The online version contains supplementary material available at 10.1007/s13534-022-00250-y.
Keyphrases
- deep learning
- prostate cancer
- magnetic resonance
- social media
- health information
- benign prostatic hyperplasia
- artificial intelligence
- psychometric properties
- convolutional neural network
- machine learning
- stem cells
- healthcare
- radiofrequency ablation
- magnetic resonance imaging
- computed tomography
- bone marrow
- replacement therapy