Interactive cell segmentation based on correction propagation

Interactive cell segmentation based on correction propagation
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基于校正传播的交互式细胞分割

DOI:
10.1109/isbi.2014.6868135
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发表时间:
2014
期刊:
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)
影响因子:
--
通讯作者:
Seungil Huh
Seungil Huh
中科院分区:
--
文献类型:
--
作者:
Hang Su;Zhaozheng Yin;T. Kanade;Seungil Huh

文献摘要

被引文献

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Automatic cell segmentation can hardly be flawless due to the complexity of image data particularly when time-lapse experiments last for a long time without biomarkers. To address this issue, we propose an interactive cell segmentation method that actively selects uncertain regions and requests human validation on them. Once erroneous segmentation is detected and subsequently corrected, the information is propagated over affinity graphs in order to fix analogous errors. We present a systematical method for correction propagation based on active and semi-supervised learning. Experimental results performed on three types of cell populations validate that our interactive cell segmentation quickly reaches high quality results with minimal human interventions, and thus is significantly more efficient than alternative methods.