Active learning framework with iterative clustering for bioimage classification.
about
LIPS database with LIPService: a microscopic image database of intracellular structures in Arabidopsis guard cellsBioimage Informatics for Big Data.Improving labeling efficiency in automatic quality control of MRSI data.BIOCAT: a pattern recognition platform for customizable biological image classification and annotation.Semi-automatic organelle detection on transmission electron microscopic images.Towards enhanced and interpretable clustering/classification in integrative genomics.Interactive phenotyping of large-scale histology imaging data with HistomicsML.Trajectories of cell-cycle progression from fixed cell populations.Stemness and anti-cancer drug resistance in ATP-binding cassette subfamily G member 2 highly expressed pancreatic cancer is induced in 3D culture conditions.Comparison of Different Classifiers with Active Learning to Support Quality Control in Nucleus Segmentation in Pathology Images.
P2860
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P2860
Active learning framework with iterative clustering for bioimage classification.
description
2012 nî lūn-bûn
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2012年の論文
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2012年論文
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2012年論文
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2012年論文
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2012年論文
@zh-mo
2012年論文
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2012年论文
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2012年论文
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2012年论文
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name
Active learning framework with iterative clustering for bioimage classification.
@ast
Active learning framework with iterative clustering for bioimage classification.
@en
type
label
Active learning framework with iterative clustering for bioimage classification.
@ast
Active learning framework with iterative clustering for bioimage classification.
@en
prefLabel
Active learning framework with iterative clustering for bioimage classification.
@ast
Active learning framework with iterative clustering for bioimage classification.
@en
P2093
P2860
P356
P1476
Active learning framework with iterative clustering for bioimage classification.
@en
P2093
Hirofumi Fujii
Masayuki Yamaguchi
Natsumaro Kutsuna
Seiichiro Hasezawa
Takumi Higaki
Tomoshi Otsuki
P2860
P2888
P356
10.1038/NCOMMS2030
P407
P577
2012-01-01T00:00:00Z