Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score.
Oscar Alfonso Jiménez del ToroManfredo AtzoriSebastian OtáloraMats AnderssonKristian EurénMartin HedlundPeter RönnquistHenning MüllerPublished in: Medical Imaging: Digital Pathology (2017)
Keyphrases
- automatic classification
- prostate cancer
- low grade
- convolutional neural networks
- normal tissue
- automatic detection
- dce mri
- mr images
- mr imaging
- convolutional network
- automatically classify
- computer aided
- web page classification
- image guided
- prostate segmentation
- image dataset
- image analysis
- automatic segmentation
- text classification
- tissue deformation
- manual segmentation
- medical image analysis
- ultrasound images