A Two-Tier Convolutional Neural Network for Combined Detection and Segmentation in Biological Imagery.
Amirkoushyar ZiabariAbbas ShirinifardMatthew R. EicholtzDavid J. SoleckiDerek C. RosePublished in: GlobalSIP (2019)
Keyphrases
- convolutional neural network
- image segmentation
- cell segmentation
- reliable detection
- object detection
- level set
- automatic detection
- segmentation algorithm
- segmentation method
- false positives
- detection rate
- medical images
- landmark detection
- multiscale
- shape prior
- fully automatic
- image processing
- edge detection
- face detection
- background subtraction
- energy function
- computer vision
- region growing
- image analysis
- high resolution
- image data
- bounding box
- complex background
- segmentation accuracy
- intensity variations
- rib cage
- fully unsupervised
- automated analysis
- man made
- biological systems
- false alarms
- multiple objects
- object segmentation
- detection algorithm
- detection method