A Probabilistic U-Net for Segmentation of Ambiguous Images.
Simon KohlBernardino Romera-ParedesClemens MeyerJeffrey De FauwJoseph R. LedsamKlaus H. Maier-HeinS. M. Ali EslamiDanilo Jimenez RezendeOlaf RonnebergerPublished in: NeurIPS (2018)
Keyphrases
- segmentation algorithm
- segmentation method
- image analysis
- test images
- image regions
- input image
- ground truth
- fully automatic
- microscopic images
- segmentation errors
- image data
- grey level
- edge detection
- image database
- adaptive thresholding
- pixel level
- intensity images
- accurate segmentation
- unsupervised segmentation
- level set
- segmentation scheme
- image segmentation algorithms
- pixel wise
- image classification
- automated segmentation
- image retrieval
- image pixels
- complex background
- segmentation accuracy
- gray level images
- microscope images
- positron emission tomography
- pigmented skin lesions
- low depth of field
- medical imaging
- image features
- image segments
- tubular structures
- piece wise
- object recognition
- microscopy images
- automatically segmented
- shape prior
- region segmentation
- gray value
- automatic segmentation
- segmented images
- image segmentation
- three dimensional
- multiscale
- cardiac magnetic resonance
- image registration
- object detection
- medical images
- x ray
- energy function
- gabor filters
- multiple objects