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GemIdent is an interactive image recognition program that identifies regions of interest in images and photographs. It is specifically designed for images with few colors, where the objects of interest look alike with small variation. For example, color image segmentation of: * Oranges from a tree * Stained cells from microscopic images GemIdent also packages data analysis tools to investigate spatial relationships among the objects identified. ==History== GemIdent was developed at Stanford University by Adam Kapelner from June, 2006 until January, 2007 in the lab of Dr. Peter Lee under the tutelage of Professor Susan Holmes. The concept was inspired by data Kohrt et al. who analyzed immune profiles of lymph nodes in breast cancer patients. Hence, GemIdent works well when identifying cells in IHC-stained tissue imaged via automated light microscopy when the nuclear background stain and membrane/cytoplasmic stain are well-defined. In 2008, it was adapted to support multispectral imaging techniques. It has also recently (July, 2009) been extended to support outsourcing the training to Amazon's MTurk〔http://mturk.com〕 using the extension called "DistributeEyes"〔http://distributeeyes.com〕 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「GemIdent」の詳細全文を読む スポンサード リンク
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