Rethinking U-net Skip Connections for Biomedical Image Segmentation.
Frauke WilmJonas AmmelingMathias ÖttlRutger H. J. FickMarc AubrevilleKatharina BreiningerPublished in: CoRR (2024)
Keyphrases
- image segmentation
- multiscale
- markov random field
- graph cuts
- active contours
- contour detection
- unsupervised image segmentation
- boundary detection
- level set
- object segmentation
- multilevel thresholding
- deformable models
- markov random field model
- region growing
- energy minimization
- unsupervised segmentation
- image processing
- spectral clustering
- energy function
- trec genomics
- segmentation algorithm
- text mining
- fuzzy connectedness
- region merging
- otsu method
- biomedical data
- probabilistic relaxation
- sea surface
- data sets
- biomedical images
- normalized cut
- technology enhanced learning
- texture segmentation
- level set method
- shape prior
- medical imaging
- gray level
- computer vision