Semi-supervised Segmentation of Salt Bodies in Seismic Images Using an Ensemble of Convolutional Neural Networks.
Yauhen BabakhinArtsiom SanakoyeuHirotoshi KitamuraPublished in: GCPR (2019)
Keyphrases
- segmentation algorithm
- segmentation method
- semi supervised
- image analysis
- segmentation accuracy
- test images
- convolutional neural networks
- image regions
- adaptive thresholding
- grey level
- edge detection
- image database
- input image
- accurate segmentation
- segmented images
- fully automatic
- three dimensional
- segmentation errors
- low depth of field
- image data
- convolutional network
- microscopic images
- image registration
- image retrieval
- microscopy images
- image features
- ground truth
- object segmentation
- graph cuts
- pixel wise
- medical images
- pixel level
- learning algorithm
- semi supervised learning
- automatically segmented
- tubular structures
- image segments
- supervised learning
- shape prior
- pairwise
- cell nuclei
- training set
- piece wise
- brain tumors
- edge detector
- region growing
- multiscale
- similarity measure
- gabor filters
- multiple objects