Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels.
Hans PinckaersWouter BultenJeroen van der LaakGeert LitjensPublished in: CoRR (2020)
Keyphrases
- end to end
- input image
- labeled images
- image data
- image features
- text localization and recognition
- histological images
- image analysis
- prostate cancer
- segmented images
- region of interest
- object detectors
- edge detection
- segmentation method
- segmentation algorithm
- bounding box
- mr images
- multiscale
- gray value
- contrast enhancement
- image quality
- deformable registration
- nonrigid registration
- superpixels
- training set
- medical images
- gray level
- registration accuracy
- image registration