Convolutional Neural Networks for Segmentation and Object Detection of Human Semen.
Malte Stær NissenOswin KrauseKristian AlmstrupSøren KjærulffTorben Trindkær NielsenMads NielsenPublished in: SCIA (1) (2017)
Keyphrases
- object detection
- convolutional neural networks
- object segmentation
- image parsing
- medical images
- background subtraction
- image segmentation
- segmentation algorithm
- multiscale
- segmentation accuracy
- energy function
- fully automatic
- object categories
- object classification
- level set
- segmentation method
- convolutional network
- scene understanding
- shape prior
- pedestrian detection
- human behavior
- multi class
- object detection and segmentation
- segmentation errors
- human detection
- medical imaging
- computer vision
- video sequences
- object recognition
- background modeling
- scene recognition
- moving objects
- region growing
- image analysis
- object class
- superpixels
- human subjects