{"date_published":"2011-06-09T00:00:00Z","publication_status":"published","citation":{"short":"C.M. Sommer, C. Straehle, U. Köthe, F.A. Hamprecht, in:, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Micro, Institute of Electrical and Electronics Engineers, 2011.","chicago":"Sommer, Christoph M, Christoph Straehle, Ullrich Köthe, and Fred A. Hamprecht. “Ilastik: Interactive Learning and Segmentation Toolkit.” In <i>2011 IEEE International Symposium on Biomedical Imaging: From Nano to Micro</i>. Institute of Electrical and Electronics Engineers, 2011. <a href=\"https://doi.org/10.1109/isbi.2011.5872394\">https://doi.org/10.1109/isbi.2011.5872394</a>.","apa":"Sommer, C. M., Straehle, C., Köthe, U., &#38; Hamprecht, F. A. (2011). Ilastik: Interactive learning and segmentation toolkit. In <i>2011 IEEE International Symposium on Biomedical Imaging: from Nano to Micro</i>. Chicago, Illinois, USA: Institute of Electrical and Electronics Engineers. <a href=\"https://doi.org/10.1109/isbi.2011.5872394\">https://doi.org/10.1109/isbi.2011.5872394</a>","ista":"Sommer CM, Straehle C, Köthe U, Hamprecht FA. 2011. Ilastik: Interactive learning and segmentation toolkit. 2011 IEEE International Symposium on Biomedical Imaging: from Nano to Micro. ISBI: International Symposium on Biomedical Imaging.","ama":"Sommer CM, Straehle C, Köthe U, Hamprecht FA. Ilastik: Interactive learning and segmentation toolkit. In: <i>2011 IEEE International Symposium on Biomedical Imaging: From Nano to Micro</i>. Institute of Electrical and Electronics Engineers; 2011. doi:<a href=\"https://doi.org/10.1109/isbi.2011.5872394\">10.1109/isbi.2011.5872394</a>","ieee":"C. M. Sommer, C. Straehle, U. Köthe, and F. A. Hamprecht, “Ilastik: Interactive learning and segmentation toolkit,” in <i>2011 IEEE International Symposium on Biomedical Imaging: from Nano to Micro</i>, Chicago, Illinois, USA, 2011.","mla":"Sommer, Christoph M., et al. “Ilastik: Interactive Learning and Segmentation Toolkit.” <i>2011 IEEE International Symposium on Biomedical Imaging: From Nano to Micro</i>, Institute of Electrical and Electronics Engineers, 2011, doi:<a href=\"https://doi.org/10.1109/isbi.2011.5872394\">10.1109/isbi.2011.5872394</a>."},"extern":"1","conference":{"location":"Chicago, Illinois, USA","end_date":"2011-04-02","name":"ISBI: International Symposium on Biomedical Imaging","start_date":"2011-03-30"},"_id":"9943","department":[{"_id":"Bio"}],"language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"Segmentation is the process of partitioning digital images into meaningful regions. The analysis of biological high content images often requires segmentation as a first step. We propose ilastik as an easy-to-use tool which allows the user without expertise in image processing to perform segmentation and classification in a unified way. ilastik learns from labels provided by the user through a convenient mouse interface. Based on these labels, ilastik infers a problem specific segmentation. A random forest classifier is used in the learning step, in which each pixel's neighborhood is characterized by a set of generic (nonlinear) features. ilastik supports up to three spatial plus one spectral dimension and makes use of all dimensions in the feature calculation. ilastik provides realtime feedback that enables the user to interactively refine the segmentation result and hence further fine-tune the classifier. An uncertainty measure guides the user to ambiguous regions in the images. Real time performance is achieved by multi-threading which fully exploits the capabilities of modern multi-core machines. Once a classifier has been trained on a set of representative images, it can be exported and used to automatically process a very large number of images (e.g. using the CellProfiler pipeline). ilastik is an open source project and released under the BSD license at www.ilastik.org."}],"main_file_link":[{"open_access":"1","url":"https://www.researchgate.net/publication/224241106_Ilastik_Interactive_learning_and_segmentation_toolkit"}],"type":"conference","author":[{"first_name":"Christoph M","last_name":"Sommer","full_name":"Sommer, Christoph M","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-1216-9105"},{"full_name":"Straehle, Christoph","first_name":"Christoph","last_name":"Straehle"},{"full_name":"Köthe, Ullrich","first_name":"Ullrich","last_name":"Köthe"},{"last_name":"Hamprecht","first_name":"Fred A.","full_name":"Hamprecht, Fred A."}],"publication":"2011 IEEE International Symposium on Biomedical Imaging: from Nano to Micro","day":"09","doi":"10.1109/isbi.2011.5872394","article_processing_charge":"No","month":"06","date_updated":"2023-02-23T14:13:38Z","publication_identifier":{"issn":["1945-7928"],"eissn":["1945-8452"],"isbn":["978-1-4244-4127-3"]},"title":"Ilastik: Interactive learning and segmentation toolkit","quality_controlled":"1","keyword":["image segmentation","biomedical imaging","three dimensional displays","neurons","retina","observers","image color analysis"],"status":"public","oa_version":"Preprint","oa":1,"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","date_created":"2021-08-19T11:49:58Z","year":"2011","publisher":"Institute of Electrical and Electronics Engineers"}