Image Informatics at a National Research Center
Overview
Affiliations
Image informatics at the Communications Engineering Branch of the Lister Hill National Center for Biomedical Communications (LHNCBC), an R&D division of the National Library of Medicine (NLM), includes document and biomedical images. In both domains, research into computer-assisted methods for information extraction, and the implementation of prototype systems incorporating such methods, is central to our mission. Current document image research focuses on extracting bibliographic data from scanned journal articles. Current biomedical imaging work focuses on content-based image retrieval (CBIR) and related problems in segmentation, indexing, and classifying collections of images of the spine and of the uterine cervix.
Kumar A, Kim J, Cai W, Fulham M, Feng D J Digit Imaging. 2013; 26(6):1025-39.
PMID: 23846532 PMC: 3824925. DOI: 10.1007/s10278-013-9619-2.
A unified set of analysis tools for uterine cervix image segmentation.
Xue Z, Long L, Antani S, Neve L, Zhu Y, Thoma G Comput Med Imaging Graph. 2010; 34(8):593-604.
PMID: 20510585 PMC: 2955170. DOI: 10.1016/j.compmedimag.2010.04.002.
Zheng B Algorithms. 2010; 2(2):828-849.
PMID: 20305801 PMC: 2841362. DOI: 10.3390/a2020828.
SPIRS: a Web-based image retrieval system for large biomedical databases.
Hsu W, Antani S, Long L, Neve L, Thoma G Int J Med Inform. 2008; 78 Suppl 1:S13-24.
PMID: 18996737 PMC: 2693318. DOI: 10.1016/j.ijmedinf.2008.09.006.