Convolutional neural network based deep-learning architecture for intraprostatic tumour contouring on PSMA PET images in patients with primary prostate cancer.
Dejan KostyszynTobias FechterNico BartlAnca L. GrosuChristian GratzkeAugust SigleMichael MixJuri RufThomas F. FassbenderSelina KieferAlisa S. BettermannNils H. NicolaySimon SpohnMaria U. KramerPeter BronsertHongqian GuoXuefeng QiuFeng WangChristoph HenkenberensRudolf A. WernerDimos BaltasPhilipp T. MeyerThorsten DerlinMengxia ChenConstantinos ZamboglouPublished in: CoRR (2020)
Keyphrases
- deep learning
- prostate cancer
- pet images
- mr images
- medical images
- early diagnosis
- machine learning
- magnetic resonance
- unsupervised learning
- magnetic resonance images
- image guided
- clinical data
- computer aided
- medical data
- deformable registration
- manual segmentation
- magnetic resonance spectroscopy
- ct images
- radiation therapy
- brain tumors
- image data
- mental models
- anatomical structures
- patient data
- clinical trials
- imaging modalities
- deformable models
- image reconstruction
- image analysis
- multiscale