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• W2033136695 abstract "Biomedical images are invaluable in establishing diagnosis, acquiring technical skills, and implementing best practices inmany areas of medicine. At present, images needed for instructional purposes or in support of clinical decisions appear inspecialized databases and in biomedical articles, and are often not easily accessible to retrieval tools. Our goal is toautomatically annotate images extracted from scientific publications with respect to their usefulness for clinical decisionsupport and instructional purposes, and project the annotations onto images stored in databases by linking imagesthrough content-based image similarity.Authors often use text labels and pointers overlaid on figures and illustrations in the articles to highlight regions ofinterest (ROI). These annotations are then referenced in the caption text or figure citations in the article text. In previousresearch we have developed two methods (a heuristic and dynamic time warping-based methods) for localizing andrecognizing such pointers on biomedical images. In this work, we add robustness to our previous efforts by using amachine learning based approach to localizing and recognizing the pointers. Identifying these can assist in extractingrelevant image content at regions within the image that are likely to be highly relevant to the discussion in the articletext. Image regions can then be annotated using biomedical concepts from extracted snippets of text pertaining to imagesin scientific biomedical articles that are identified using National Library of Medicine's Unified Medical LanguageSystem® (UMLS) Metathesaurus. The resulting regional annotation and extracted image content are then used as indicesfor biomedical article retrieval using the multimodal features and region-based content-based image retrieval (CBIR)techniques. The hypothesis that such an approach would improve biomedical document retrieval is validated throughexperiments on an expert-marked biomedical article dataset." @default.
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• W2033136695 date "2010-01-17" @default.
• W2033136695 modified "2023-09-29" @default.
• W2033136695 title "Biomedical article retrieval using multimodal features and image annotations in region-based CBIR" @default.
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• W2033136695 doi "https://doi.org/10.1117/12.838973" @default.
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