Guided M-Net for High-Resolution Biomedical Image Segmentation with Weak Boundaries.
Shihao ZhangYuguang YanPengshuai YinZhen QiuWei ZhaoGuiping CaoWan ChenJin YuanRisa HigashitaQingyao WuMingkui TanJiang LiuPublished in: OMIA@MICCAI (2019)
Keyphrases
- image segmentation
- high resolution
- image processing
- low resolution
- edge weighted centroidal voronoi
- multiscale
- super resolution
- graph cuts
- level set method
- method for image segmentation
- region boundaries
- high quality
- object boundaries
- region growing
- high frequency
- computer vision
- biomedical images
- high resolution images
- level set
- active contours
- boundary detection
- markov random field
- fuzzy c means
- satellite images
- gray level
- chan vese model
- information extraction
- image segmentation algorithm
- face images
- graph partitioning
- object segmentation
- spectral clustering
- segmentation method
- shape prior
- field of view
- text mining
- deformable models
- contour detection
- image super resolution
- face recognition
- biomedical literature
- input image
- biomedical text
- segmentation algorithm
- image analysis