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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.

Ruiz A, Allette K, Francis D, Lamping E, Jaeger S, Folio L, Apolo A. Patterns of soft tissue metastasis in patients with urothelial carcinoma using tumor volume heatmaps. NIH Summer Research Program Poster Day, Aug 6, 2015
Vajda S, Rangoni Y, Cecotti H. Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition. Pattern Recognit Lett. 2015 Jun 1;58:23-28.
Xu T, Huang X, Kim E, Long LR, Antani SK. Multi-test cervical cancer diagnosis with missing data estimation. Proc. SPIE. 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 94140X. (March 20, 2015) doi: 10.1117/12.2080871.
Xue Z, You D, Chachra S, Antani SK, Long LR, Demner-Fushman D, Thoma GR. Extraction of endoscopic images for biomedical figure classification. Proc. SPIE. 9418, Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations, 94180P. (March 17, 2015) doi: 10.1117/12.2081033.
Candemir S, Antani SK, Jaeger SR, Thoma GR. Lung boundary detection in pediatric chest x-rays. Proc. SPIE. 9418, Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations, 94180Q. (March 17, 2015) doi: 10.1117/12.2081060.
Rahman MM, Antani SK, Demner-Fushman D, Thoma GR. A visual concept-based interactive biomedical image retrieval using entropy and spatial information. Proc. SPIE. 9418, Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations, 94180U. (March 17, 2015) doi: 10.1117/12.2081456.
Song D, Kim E, Huang X, Patruno J, Munoz-Avila H, Heflin J, Long LR, Antani SK. Multimodal entity coreference for cervical dysplasia diagnosis. IEEE Transactions on Medical Imaging, 34(1), January 2015, 229-245.
Demner-Fushman D, Antani S, Kalpathy-Cramer J, Müller H. A decade of community-wide efforts in advancing medical image understanding and retrieval. Comput Med Imaging Graph. 2015 Jan;39:1-2. doi: 10.1016/j.compmedimag.2014.12.002.
Xue Z, Bryant B, Long LR, Sari-Sarraf H, Thoma GR, Wachtel M. A Client-Server Tool for Automatic Fast GPU-based Detection of Squamous Epithelium Tissue Regions in Histology Images. RSNA 2014. Chicago, USA, Nov 30-Dec 5, 2014
Rondonotti E, Koulaouzidis A, Karargyris A, Giannakou A, Fini L, Soncini M, Pennazio M, Douglas S, Shams A, Lachlan N, Zahid A, Mandelli G, Girelli C. Utility of 3-dimensional image reconstruction in the diagnosis of small-bowel masses in capsule endoscopy (with video). Gastrointest Endosc. 2014 Oct;80(4):642-51. doi: 10.1016/j.gie.2014.04.057. Epub 2014 Jul 3.