Convolutional Neural Networks for Underwater Pipeline Segmentation using Imperfect Datasets.
Edgar MedinaRoberto CamposJosé Gabriel Rodríguez Carneiro GomesMariane R. PetragliaAntonio PetragliaPublished in: EUSIPCO (2020)
Keyphrases
- convolutional neural networks
- image segmentation
- level set
- segmentation algorithm
- segmentation method
- database
- image analysis
- medical images
- processing pipeline
- segmentation accuracy
- benchmark datasets
- multiple objects
- convolutional network
- shape prior
- region growing
- medical imaging
- motion segmentation
- object segmentation
- target tracking
- segmentation errors
- optimal segmentation
- energy function
- multiscale