Deep learning detection of prostate cancer recurrence with 18F-FACBC (fluciclovine, Axumin®) positron emission tomography.
Jong Jin LeeHongye YangBenjamin L FrancAndrei H IagaruGuido A DavidzonPublished in: European journal of nuclear medicine and molecular imaging (2020)
DL accurately classifies abnormal 18F-fluciclovine PET images of the pelvis in patients with BCR of PC. A DL classifier using single slice prediction had superior performance over case-based prediction.
Keyphrases
- positron emission tomography
- pet ct
- deep learning
- prostate cancer
- computed tomography
- convolutional neural network
- pet imaging
- acute lymphoblastic leukemia
- artificial intelligence
- radical prostatectomy
- tyrosine kinase
- magnetic resonance imaging
- optical coherence tomography
- loop mediated isothermal amplification
- label free
- chronic myeloid leukemia
- quantum dots
- sensitive detection