Semi-automated quantification of retinal IS/OS damage in en-face OCT image
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- 作者：Vineet Sunil Gattania ; Kiran Kumar Vupparaboinaa ; ee11p012@iith.ac.in" class="auth_mail" title="E-mail the corresponding author ; Ameya Patila ; Jay Chhablanib ; Ashutosh Richhariyab ; Soumya Janaa
- 关键词：En-face optical coherence tomography (OCT) ; Inner-segment/outer-segment (IS/OS) junction ; Level-set method ; Mutual information ; Dice coefficient ; Statistical analysis
- 刊名：Computers in Biology and Medicine
- 出版年：2016
- 出版时间：1 February 2016
- 年：2016
- 卷：69
- 期：Complete
- 页码：52-60
- 全文大小：5776 K
文摘
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Semi-automated method to quantify retinal IS/OS damage using level-sets.
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Mutual information as energy function to leverage statistics of the lesion.
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Thorough statistical analysis of algorithmic accuracy vis-à-vis manual method.
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Algorithmic damage quantification reported vis-à-vis observer repeatability.
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Quotients are defined to fairly compare among methods tested on disparate datasets.