Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging.
Rachana SathishRonnie RajanAnusha VupputuriNirmalya GhoshDebdoot SheetPublished in: EMBC (2019)
Keyphrases
- magnetic resonance imaging
- convolutional neural networks
- convolutional network
- semantic segmentation
- lesion segmentation
- medical images
- mri data
- superpixels
- conditional random fields
- weakly supervised
- medical imaging
- region of interest
- object class
- object categories
- mri images
- scene classification
- object classes
- multiscale
- coarse to fine
- x ray
- hidden markov models
- object segmentation
- feature extraction
- image set
- natural images
- image data
- multiple sclerosis
- viewpoint
- object recognition