Automatic Gleason grading of H and E stained microscopic prostate images using deep convolutional neural networks.
Anna GummesonIda ArvidssonMattias OhlssonNiels Christian OvergaardAgnieszka KrzyzanowskaAnders HeydenAnders BjartellKalle ÅströmPublished in: Medical Imaging: Digital Pathology (2017)
Keyphrases
- image analysis
- image database
- image data
- microscopic images
- ground truth
- convolutional neural networks
- prostate cancer
- fully automatic
- edge detection
- input image
- microscopy images
- three dimensional
- prostate segmentation
- convolutional network
- deformable registration
- image registration
- image features
- digitized images
- automated detection
- radiation therapy
- image retrieval