Redefining Retinal Lesion Segmentation: A Quantum Leap With DL-UNet Enhanced Auto Encoder-Decoder for Fundus Image Analysis.
B. Naveen KumarT. R. MaheshG. GeethaSuresh GuluwadiPublished in: IEEE Access (2023)
Keyphrases
- image analysis
- lesion segmentation
- retinal images
- video codec
- decoding process
- distributed video coding
- blood vessels
- low complexity
- error control
- age related macular degeneration
- noisy channel
- wyner ziv
- rate distortion
- multiple sclerosis
- wyner ziv video coding
- successive approximation
- distributed source coding
- pattern recognition
- fundus images
- turbo codes
- mathematical morphology
- medical imaging
- bit rate
- image processing
- magnetic resonance images
- magnetic resonance imaging
- motion estimation
- texture analysis
- video coding
- image enhancement
- multi channel
- image segmentation
- remote sensing
- computer aided
- x ray
- brain mri
- mr images
- region of interest
- skin lesion
- clinical trials
- computational complexity
- high quality
- feature extraction
- error concealment