Mitochondria Segmentation From EM Images via Hierarchical Structured Contextual Forest.
Jialin PengZhimin YuanPublished in: IEEE J. Biomed. Health Informatics (2020)
Keyphrases
- segmentation algorithm
- segmentation method
- image analysis
- image regions
- edge detection
- image features
- segmentation errors
- segmented images
- accurate segmentation
- fully automatic
- segmentation accuracy
- low level image segmentation
- ground truth
- image segmentation
- pixel wise
- image segmentation algorithms
- image data
- microscopic images
- input image
- adaptive thresholding
- automatically segmented
- test images
- microscopy images
- image pixels
- multiscale
- image processing
- object recognition
- tubular structures
- piece wise
- unsupervised segmentation
- image classification
- low depth of field
- cardiac magnetic resonance
- three dimensional
- positron emission tomography
- image registration
- image database
- pixel level
- microscope images
- image retrieval
- region growing
- pigmented skin lesions
- bounding box
- automatic segmentation
- expectation maximization
- image segmentation algorithm
- em algorithm
- grey level
- complex background
- generative model
- color features
- image slices
- object segmentation