Biomedical article retrieval using multimodal features and image annotations in region-based CBIR

Biomedical images are invaluable in establishing diagnosis, acquiring technical skills, and implementing best practices in many areas of medicine. At present, images needed for instructional purposes or in support of clinical decisions appear in specialized databases and in biomedical articles, and are often not easily accessible to retrieval tools. Our goal is to automatically annotate images extracted from scientific publications with respect to their usefulness for clinical decision support and instructional purposes, and project the annotations onto images stored in databases by linking images through content-based image similarity. Authors often use text labels and pointers overlaid on figures and illustrations in the articles to highlight regions of interest (ROI). These annotations are then referenced in the caption text or figure citations in the article text. In previous research we have developed two methods (a heuristic and dynamic time warping-based methods) for localizing...

• Type: Conference
• Year: 2010
• Where: DRR
• Authors: Daekeun You, Sameer Antani, Dina Demner-Fushman, Md. Mahmudur Rahman, Venu Govindaraju, George R. Thoma
• Keywords: Biomedical, Biomedical Article, Document Analysis, DRR 2010, Image