integrated radiology image search(iris)...research group matt nykaza. cara gilad. teresa manuel....
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Integrated Radiology Image Search(IRIS)
Radiology teaching file search engine with ranked retrieval using ensemble of topic models
Priya Deshpande
DePaul University, ChicagoSeptember 9th, 2018
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Dr. Alexander Rasin
Dr. Eli BrownDr. Jacob FurstDr. Steven M. Montner Dr. Samuel G. Armato III Dr. Daniela Raicu
Priya Deshpande
Research Group
Matt Nykaza Cara Gilad Teresa Manuel
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Agenda
Introduction to Radiology Teaching File SystemsMotivationProject OverviewArchitecture ResultsConclusion and Future work
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Role of Teaching Files in RadiologyExample: MIRC: Medical Imaging Resource Community
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Radiology Teaching File Data Sources and Search Engines
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Motivation
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IRIS: Integrated Radiology Image Search
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Integrated Radiology Image Search Engine
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IRIS Ranked Retrieval with Ensemble of Topic Models
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Topic modelling to find alternate spelling and similar words
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IRIS – Rich Integrated teaching files repository with NLP Support Text results augmented with image-based results Topic modeling improves search results by re-ranking teaching
cases Tools like IRIS can enhance the productivity and effectiveness of
radiologists Future Work: Text based-search with hierarchical text structure and proximity of words Create patches – Analyse an Image patches Improve image-based results using deep learning algorithms
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Conclusions and Future Work
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Acknowledgements
MIRC and MyPacs teaching file repositories for making their datasetspublicly available. RadLex and SNOMED CT groups for making their ontologies freely
available for research purposes.
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Dr. Alexander RasinCara Gilad
Teresa Manuel Matt NykazaDr. Eli Brown
Dr. Jacob FurstDr. Steven M. MontnerDr. Samuel G. Armato III
Dr. Daniela Raicu
Thank You!Co-Authors