A Probabilistic U-Net for Segmentation of Ambiguous Images.
Simon A. A. KohlBernardino Romera-ParedesClemens MeyerJeffrey De FauwJoseph R. LedsamKlaus H. Maier-HeinS. M. Ali EslamiDanilo Jimenez RezendeOlaf RonnebergerPublished in: CoRR (2018)
Keyphrases
- segmentation algorithm
- segmentation method
- input image
- test images
- image analysis
- adaptive thresholding
- image data
- microscopic images
- image database
- image regions
- accurate segmentation
- grey level
- segmentation accuracy
- unsupervised segmentation
- automated segmentation
- image slices
- edge detection
- three dimensional
- fully automatic
- segmentation errors
- gray value
- microscope images
- piece wise
- image registration
- microscopy images
- image retrieval
- segmented images
- tubular structures
- segmentation scheme
- image segmentation
- low depth of field
- multiscale
- pixel level
- ground truth
- cell nuclei
- object recognition
- medical images
- image segments
- shape prior
- complex background
- object segmentation
- region segmentation
- automatic segmentation
- gabor filters
- image segmentation algorithms
- image pixels
- brain mr images
- mr images
- graph cuts
- image segmentation algorithm
- image classification
- bounding box
- intensity images
- pigmented skin lesions
- outdoor scenes