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Imaging Tools for Cancer Research

The goal of our work in Biomedical Imaging is two-fold: One, to develop advanced imaging tools for biomedical research in partnership with the National Cancer Institute and other organizations. Secondly, to conduct research in Content Based Image Retrieval (CBIR) to index and retrieve medical images by image features (e.g., shape, color and texture), augmented by textual features as well. This work includes the development of the CervigramFinder for retrieval of uterine cervix images by image features, SPIRS for retrieval of digitized x-ray images of the spine from NHANES II and a distributed global system (SPIRS-IRMA) for image retrieval by both high-level and detailed features of medical images, in collaboration with Aachen University, Germany.

CBIR is also an aspect of the Image Text Indexing (ITI) project that seeks to automatically index illustrations in medical articles by processing text in figure captions and mentions in the article, as well as image features in the illustrations.

Publications/Tools: 
Xu X, Lee DJ, Antani S, Long LR. Localizing Contour Points for Indexing an X-Ray Image Retrieval System Los Alamitos, CA: IEEE Computer Society. 2003 June;: 169-74.
Long RL, Thoma GR. Segmentation and Image Navigation in Digitized Spine X-Rays Proc. SPIE Medical Imaging: Image Processing. 2000 Feb; 3979: 168-79.
Lee DJ, Antani S, Long LR. Similarity Measurement Using Polygon Curve Representation and Fourier Descriptors for Shape-Based Vertebral Image Retrieval Proc. of SPIE Medical Imaging: Image Processing. 2003;5032(3): 1283-91.
Long LR, Antani S, Lee DJ, Krainak DM, Thoma GR. Biomedical Information from a National Collection of Spine X-Rays: Film to Content-Based Retrieval Proc. of SPIE Medical Imaging: PACS and Integrated Medical Information Systems. 2003 Feb;5033: 70-84.
Long LR, Thoma GR. Computer-Assisted Retrieval of Biomedical Image Features from Spine X-Rays: Progress and Prospects Proceeding of the 14th IEEE Symposium on Computer-Based Medical Systems (CBMS). 2001 Jul;:46-50.
Zamora G, Sari-Sarraf H, Long LR. Hierarchical Segmentation of Vertebrae from X-ray Images Proc. of SPIE Medical Imaging: Image Processing. 2003 Feb; 5032.
Long LR, Thoma GR. Identification and Classification of Spine Vertebrae by Automated Methods Proc. SPIE Medical Imaging: Image Processing. 2001 Feb;:1478-89.
Antani S, Long LR, Lee DJ, Thoma GR. Evaluation of Shape Indexing Methods for Content-Based Retrieval of X-Ray Images Proceedings of IS&T/SPIE Electronic Imaging Science and Technology, Storage and Retrieval for Media Databases. 2003 Jan; 5021: 405-16.
Long LR, Thoma GR. Feature Indexing in a Database of Digitized X-Rays Proc. of SPIE Storage and Retrieval for Media Databases. 2001 Jan;4315:393-403.
Crandall D, Antani S, Kasturi R. Extraction of Special Effects Caption Text Events from Digital Video International Journal of Document Analysis and Recognition. 2003;5(2-3):138-57.

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