Fusion techniques for combining textual and visual information retrieval
A Depeursinge, H Müller - ImageCLEF: Experimental Evaluation in Visual …, 2010 - Springer
This chapter describes several approaches for information fusion that have been used in
ImageCLEF over the past seven years. In this context, the fusion of information is mainly …
ImageCLEF over the past seven years. In this context, the fusion of information is mainly …
Multimodal biomedical image indexing and retrieval using descriptive text and global feature mapping
The images found within biomedical articles are sources of essential information useful for a
variety of tasks. Due to the rapid growth of biomedical knowledge, image retrieval systems …
variety of tasks. Due to the rapid growth of biomedical knowledge, image retrieval systems …
[PDF][PDF] A new approach for content-based image retrieval for medical applications using low-level image descriptors
MQ Shatnawi, M Alrousan, S Amareen - International Journal of …, 2020 - core.ac.uk
Content based image retrieval (CBIR) has become an important factor in medical imaging
research and is obtaining a great success. More applications still need to be developed to …
research and is obtaining a great success. More applications still need to be developed to …
Combining visual and textual systems within the context of user feedback
L Kaliciak, D Song, N Wiratunga, J Pan - … 7-9, 2013, Proceedings, Part I 19, 2013 - Springer
It has been proven experimentally, that a combination of textual and visual representations
can improve the retrieval performance ([20],[23]). It is due to the fact, that the textual and …
can improve the retrieval performance ([20],[23]). It is due to the fact, that the textual and …
Automatic identification of ROI in figure images toward improving hybrid (text and image) biomedical document retrieval
D You, S Antani, D Demner-Fushman… - … and Retrieval XVIII, 2011 - spiedigitallibrary.org
Biomedical images are often referenced for clinical decision support (CDS), educational
purposes, and research. They appear in specialized databases or in biomedical …
purposes, and research. They appear in specialized databases or in biomedical …
Weighted semantic fusion of text and content for image retrieval
The performance of image retrieval (IR) systems improves by reducing the semantic gap
between the low-level features and the high-level concepts. Research results in the recent …
between the low-level features and the high-level concepts. Research results in the recent …
Image classification and retrieval based on crisp and Fuzzy ontology
M Liaqat - 2013 3rd IEEE International Conference on …, 2013 - ieeexplore.ieee.org
This paper proposes crisp and fuzzy ontology model for reducing the Semantic gap between
the user requirements and the System model in order to provide better image classification …
the user requirements and the System model in order to provide better image classification …
Using relevant regions in image search and query refinement for medical cbir
In clinical decision processes, relevant scientific publications and their associated medical
images can provide valuable and insightful information. However, effectively searching …
images can provide valuable and insightful information. However, effectively searching …
The MedGIFT group at ImageCLEF 2009
MedGIFT is a medical imaging group of the Geneva University Hospitals and the University
of Geneva, Switzerland. Since 2004, the group has participated ImageCLEF each year …
of Geneva, Switzerland. Since 2004, the group has participated ImageCLEF each year …
Parallel weighted semantic fusion for cross-media retrieval
Efficiency and effectiveness of image retrieval (IR) system are based on the good
interpretation and integration of multimodal information. Research results in the recent years …
interpretation and integration of multimodal information. Research results in the recent years …