Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images.
Yohannes K. TsehayNathan S. LayHolger R. RothXiaosong WangJin Tae KwakBaris TurkbeyPeter A. PintoBradford J. WoodRonald M. SummersPublished in: Medical Imaging: Computer-Aided Diagnosis (2017)
Keyphrases
- deep learning
- magnetic resonance images
- cancer detection
- prostate cancer
- mr images
- medical images
- medical image analysis
- unsupervised feature learning
- mr imaging
- unsupervised learning
- magnetic resonance
- machine learning
- restricted boltzmann machine
- medical imaging
- magnetic resonance imaging
- white matter
- high resolution
- deep belief networks
- neural network
- mental models
- image data
- weakly supervised
- automatic segmentation
- pairwise
- maximum likelihood
- principal component analysis