Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation

Characterizing the performance of image segmentation approaches has been a persistent challenge. Performance analysis is important since segmentation algorithms often have limited accuracy and precision. Interactive drawing of the desired segmentation by human raters has often been the only acceptab...

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Vydané v:	IEEE transactions on medical imaging Ročník 23; číslo 7; s. 903 - 921
Hlavní autori:	Warfield, S.K., Zou, K.H., Wells, W.M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.07.2004 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Artificial intelligence Automation Biomedical imaging Brain - anatomy & histology Computer science Decision Making, Computer-Assisted Hospitals Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image segmentation Imaging phantoms Infant, Newborn Magnetic Resonance Imaging - methods Markov Chains Models, Statistical Observer Variation Pathology Performance analysis Phantoms, Imaging Radiology Reproducibility of Results Sensitivity and Specificity Studies
ISSN:	0278-0062, 1558-254X
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