MRI Brain Tumor Segmentation Using Deep Encoder-Decoder Convolutional Neural Networks.
Benjamin B. YanYujia WeiJaidip Manikrao M. JagtapMana MoassefiDiana V. Vera GarciaYashbir SinghSanaz VahdatiShahriar FaghaniBradley J. EricksonGian Marco ContePublished in: BrainLes@MICCAI (2) (2021)
Keyphrases
- brain tumor segmentation
- convolutional neural networks
- decoding process
- video codec
- distributed video coding
- error control
- low complexity
- magnetic resonance images
- noisy channel
- wyner ziv
- wyner ziv video coding
- distributed source coding
- mpeg avc
- successive approximation
- rate distortion
- convolutional network
- video coding scheme
- video coding
- motion compensated prediction
- turbo codes
- pixel domain
- error resilience
- error concealment
- error correction
- video encoder
- transform domain
- low bit rate
- rate allocation
- medical images
- video coding standard
- compressive sensing
- video quality
- video compression
- motion estimation
- bit rate
- motion compensation
- bitstream
- temporal correlation
- source coding
- packet loss
- magnetic resonance imaging
- inter frame
- bit budget
- video coder
- computational complexity
- video transcoding
- high quality
- motion compensated
- rate control
- coding efficiency
- computer vision
- medical imaging
- image registration