Improving the generalizability of convolutional neural network-based segmentation on CMR images.
Chen ChenWenjia BaiRhodri H. DaviesAnish N. BhuvaCharlotte ManistyJames C. MoonNay AungAaron M. LeeMihir M. SanghviKenneth FungJosé Miguel PaivaSteffen E. PetersenElena LukaschukStefan K. PiechnikStefan NeubauerDaniel RueckertPublished in: CoRR (2019)
Keyphrases
- accurate segmentation
- segmentation method
- segmentation algorithm
- image regions
- test images
- image analysis
- segmentation errors
- edge detection
- grey level
- segmented images
- input image
- fully automatic
- image data
- unsupervised segmentation
- adaptive thresholding
- image registration
- image features
- ground truth
- segmentation accuracy
- microscopic images
- image retrieval
- pixel wise
- affine registration
- image segmentation
- neural network
- image database
- tubular structures
- piece wise
- image segments
- image slices
- pigmented skin lesions
- pixel level
- mri images
- intensity distribution
- automatic segmentation
- image classification
- medical images
- three dimensional
- gray value
- low contrast
- automatically segmented
- image processing
- segmentation result
- image segmentation algorithms
- rigid registration
- object segmentation
- short axis