报告主题：婴幼儿大脑影像分析 —— 组织分割
报告人： 王 利 副研究员(美国北卡罗莱纳大学教堂山分校)
报告时间：2016年11月30日（周三）13:00
报告地点：校本部G507
邀请人：应时辉
报告摘要：Segmentation of infant brain MRIs is challenging due to the low image quality, severe partial volume effect, noise, ongoing white and gray matters undergoes dramatic changes. In particular, the image contrasts inverses around 6-8 months of age, where the white and gray matter tissues are isointense and hence exhibit the extremely low tissue contrast, posing significant challenges for automated segmentation. In this talk, a novel learning-based method segmentation of infant brain MRIs will be introduced. Later I will also introduce the extension for segmentation on monkey MRIs and dental CBCTs.
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