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IICBU specifications


Unique identifier OMICS_27901
Alternative name IICBU-2008
Restrictions to use None
Community driven No
User data submission Not allowed
Maintained Yes


  • person_outline Lior Shamir
  • person_outline Ilya Goldberg

Publication for IICBU

IICBU citations


Semi Supervised Feature Transformation for Tissue Image Classification

PLoS One
PMCID: 5135048
PMID: 27911905
DOI: 10.1371/journal.pone.0166413

[…] her feature transformation methods for the benchmark datasets from the UCI machine learning repository. Furthermore, the kernel extended SCA contributed better classifications of tissue images in the IICBU 2008 and the MITOS-ATYPIA-14. […]


Phenotype Recognition with Combined Features and Random Subspace Classifier Ensemble

BMC Bioinformatics
PMCID: 3098787
PMID: 21529372
DOI: 10.1186/1471-2105-12-128

[…] Three image sets HeLa, CHO and RNAi from the IICBU benchmarking data [,] were evaluated. All of the images are processed as wholes without any detection or segmentation. In our experiments, a simple holdout methodology was applied. For each of t […]


Pattern Recognition Software and Techniques for Biological Image Analysis

PLoS Comput Biol
PMCID: 2991255
PMID: 21124870
DOI: 10.1371/journal.pcbi.1000974

[…] fferent organisms acquired using different types of microscopy, magnifications, etc. Some useful publicly available image datasets include the PSLID datasets (http://murphylab.web.cmu.edu/data/), the IICBU benchmark suite (http://ome.grc.nia.nih.gov/iicbu2008/), and the Broad Bioimage Benchmark Collection http://www.broadinstitute.org/bbbc/. […]


Wndchrm – an open source utility for biological image analysis

Source Code Biol Med
PMCID: 2478650
PMID: 18611266
DOI: 10.1186/1751-0473-3-13

[…] The efficacy of the proposed image analysis utility was tested using iicbu-2008 benchmark suite of biological image datasets [], which includes biological images of different subjects such as organelles, cells, tissues, and full organisms using different magnifications […]


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IICBU institution(s)
Image Informatics and Computational Biology Unit, Laboratory of Genetics, Baltimore, MD, USA; Computer Laboratory, University of Cambridge, Cambridge, UK
IICBU funding source(s)
Supported by the Intramural Research Program of the NIH, National Institute on Aging.

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