Convolutional neural networks for segmentation and object detection of human semen.
Malte Stær NissenOswin KrauseKristian AlmstrupSøren KjærulffTorben Trindkær NielsenMads NielsenPublished in: CoRR (2017)
Keyphrases
- object detection
- convolutional neural networks
- object segmentation
- image parsing
- image segmentation
- segmentation algorithm
- level set
- segmentation method
- object detection and segmentation
- medical images
- multiscale
- face detection
- segmentation accuracy
- background subtraction
- object class
- graph cuts
- energy function
- object categories
- human behavior
- scene recognition
- shape prior
- image processing
- medical imaging
- image analysis
- human subjects
- pedestrian detection
- multiple objects
- test images
- scene understanding
- active contours
- graph grammars
- segmentation errors
- detecting objects
- markov random field
- pairwise
- convolutional network