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Semi-overcomplete convolutional auto-encoder embedding as shape priors for deep vessel segmentation

Sadikine, Amine et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionimage-and-video-processingmachine-learning
The extraction of blood vessels has recently experienced a widespread interest in medical image analysis. Automatic vessel segmentation is highly desirable to guide clinicians in computer-assisted diagnosis, therapy or surgical planning. Despite a good ability to extract large anatomical structures,
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