HFRU-Net: High-Level Feature Fusion and Recalibration UNet for Automatic Liver and Tumor Segmentation in CT Images.
Devidas T. KushnureSanjay N. TalbarPublished in: Comput. Methods Programs Biomed. (2022)
Keyphrases
- ct images
- feature fusion
- high level
- tumor segmentation
- computed tomography
- medical images
- ct scans
- medical imaging
- low level
- feature extraction
- liver segmentation
- brain mr images
- brain tumors
- region of interest
- semi automatic
- data fusion
- ct data
- magnetic resonance
- multiple features
- active contour model
- fully automatic
- mr images
- semi supervised
- pairwise
- computer aided diagnosis
- anatomical structures
- brain images
- multiscale
- feature selection