Feb 4, 2013 · We have developed several algorithms that localize and extract the ROIs by recognizing markers on images. Cropped ROIs then need to be annotated ...
Nov 6, 2024 · The annotated ROIs can then be used to, for example, train classifiers that separate ROIs into known categories (medical concepts), or to build ...
Annotating Image ROIs with Text Descriptions for Multimodal ...
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The annotated ROIs can then be used to, for example, train classifiers that separate ROIs into known categories (medical concepts), or to build visual ...
We propose an algorithm that pairs visual and textual ROIs that are extracted from images and figure captions, respectively.
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The goal is to automatically annotate images extracted from scientific publications with respect to their usefulness for clinical decision support and ...
In this article, we propose an adaptation of object recognition for image documents. The advantages of our method is that it does not use character recognition ...
In this paper, we develop a new multimodal medical image retrieval approach based on the recent advances in the statistical graphic model and deep learning.
Biomedical article retrieval using multimodal features and image annotations in region-based CBIR ( DY , SA , DDF , MMR , VG , GRT ), pp. 1–10.
Figure content analysis for improved biomedical article retrieval ...
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This work combines article text analysis and figure image analysis for localizing pointer (arrows, symbols) to extract ROI pointed that can then be used to ...