Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural Networks.
Yauhen BabakhinArtsiom SanakoyeuHirotoshi KitamuraPublished in: CoRR (2019)
Keyphrases
- segmentation method
- segmentation algorithm
- semi supervised
- image analysis
- image database
- image regions
- segmentation errors
- test images
- adaptive thresholding
- image data
- edge detection
- input image
- convolutional neural networks
- grey level
- microscopic images
- segmentation accuracy
- image features
- segmented images
- ground truth
- fully automatic
- accurate segmentation
- pixel wise
- image slices
- low depth of field
- three dimensional
- level set
- object recognition
- piece wise
- automatically segmented
- bounding box
- multiscale
- tubular structures
- microscopy images
- image segmentation algorithms
- region growing
- image segmentation
- seismic data
- image registration
- pixel level
- automatic segmentation
- cell nuclei
- image retrieval
- foreground and background
- supervised learning
- face images
- medical images
- multiple objects
- labeled data
- image processing