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A caGrid-enabled, learning based image segmentation method for histopathology specimens
2009
2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
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Both a whole disc delineation algorithm and a learning based tumor region segmentation approach which utilizes multiple scale texton histograms are introduced. ...
In this paper, a fast and accurate image segmentation algorithm is presented. ...
In this paper, we describe a learning based segmentation algorithm for analyzing digitized breast tissue specimens. In Section 2 we present the details of the segmentation algorithm. ...
doi:10.1109/isbi.2009.5193304
pmid:19936299
pmcid:PMC2779045
dblp:conf/isbi/ForanYTCHKFS09
fatcat:tp5o3iegkjhztblodscpfkdgyi
ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology
2011
JAMIA Journal of the American Medical Informatics Association
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
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It provides a library of image processing methods, including automated registration, segmentation, feature extraction, and classification, all of which have been tailored, in these studies, to support ...
The 1 design and implementation of ImageMiner, a software platform for performing comparative analysis of expression patterns in imaged microscopy specimens such as tissue microarrays (TMAs), is described ...
Acknowledgments UMDNJ also thanks and acknowledges IBM for providing free computational power and technical support for this research through World Community Grid. ...
doi:10.1136/amiajnl-2011-000170
pmid:21606133
pmcid:PMC3128405
fatcat:v4bxdoqb55fpzc4sm6hqbbigp4
Computational pathology: Challenges and promises for tissue analysis
2011
Computerized Medical Imaging and Graphics
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2015 pre-print arXiv:1601.00027v1 fatcat:m3ebaud3ybgdpcnimh2pxge6fm
Methods for classification, grouping and segmentation of heterogeneous data sources as well as regression of noisy dependencies and estimation of survival probabilities enter the processing workflow of ...
A plethora of different data sources ranging from tissue microarray data to gene expression, proteomics or metabolomics data provide a detailed overview of the health status of a patient. ...
Norbert Wey for scanning and tiling the TMA slides. ...
doi:10.1016/j.compmedimag.2011.02.006
pmid:21481567
fatcat:tqt3tifx5nfihlqskchg5afv7y