iCut: an Integrative Cut Algorithm Enables Accurate Segmentation of Touching Cells
about
An optimized image analysis algorithm for detecting nuclear signals in digital whole slides for histopathology.A deep convolutional neural network for classification of red blood cells in sickle cell anemia.AutoCellSeg: robust automatic colony forming unit (CFU)/cell analysis using adaptive image segmentation and easy-to-use post-editing techniques.
P2860
iCut: an Integrative Cut Algorithm Enables Accurate Segmentation of Touching Cells
description
2015 nî lūn-bûn
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2015年の論文
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2015年論文
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2015年論文
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2015年論文
@zh-hk
2015年論文
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2015年論文
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2015年论文
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2015年论文
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2015年论文
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name
iCut: an Integrative Cut Algorithm Enables Accurate Segmentation of Touching Cells
@ast
iCut: an Integrative Cut Algorithm Enables Accurate Segmentation of Touching Cells
@en
type
label
iCut: an Integrative Cut Algorithm Enables Accurate Segmentation of Touching Cells
@ast
iCut: an Integrative Cut Algorithm Enables Accurate Segmentation of Touching Cells
@en
prefLabel
iCut: an Integrative Cut Algorithm Enables Accurate Segmentation of Touching Cells
@ast
iCut: an Integrative Cut Algorithm Enables Accurate Segmentation of Touching Cells
@en
P2093
P2860
P356
P1433
P1476
iCut: an Integrative Cut Algorithm Enables Accurate Segmentation of Touching Cells
@en
P2093
Benyi Xiong
Qingming Luo
Shangbin Chen
Simin Wang
Xiaofeng Xu
P2860
P2888
P356
10.1038/SREP12089
P407
P50
P577
2015-07-14T00:00:00Z