Semantic segmentation for prostate cancer grading by convolutional neural networks.
Nathan IngZhaoxuan MaJiayun LiHootan SalemiCorey W. ArnoldBeatrice S. KnudsenArkadiusz GertychPublished in: Medical Imaging: Digital Pathology (2018)
Keyphrases
- deformable models
- prostate cancer
- semantic segmentation
- convolutional neural networks
- medical image analysis
- conditional random fields
- superpixels
- scene classification
- weakly supervised
- mr images
- computer aided
- object class
- object classes
- object recognition
- object categories
- pascal voc
- image set
- image understanding
- multiscale
- test images
- text classification
- object detection
- multiresolution