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Updated: Jul 22, 2025

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Published on: January 8, 2018

Enhancing biomedical search interfaces with images.

Juan Trelles Trabucco¹, Cecilia Arighi², Hagit Shatkay²

¹Department of Computer Science, University of Illinois Chicago, Chicago, IL 60607, USA.

Bioinformatics Advances

|July 24, 2023

Summary

This summary is machine-generated.

This study introduces a novel search system for biomedical documents that incorporates image data, enhancing document retrieval accuracy. The system improves search precision and recall by utilizing figures and image modalities beyond traditional text-based searches.

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Area of Science:

Biomedical Informatics
Information Retrieval
Computer Vision

Background:

Biomedical literature contains crucial information within figures, yet current search engines primarily rely on text.
Effective retrieval of biomedical documents is essential for research and clinical practice.

Purpose of the Study:

To develop and evaluate a search system that integrates image modalities and figure-based data for enhanced biomedical document retrieval.
To improve the precision and recall of searching biomedical documents by leveraging visual content.

Main Methods:

Developed a custom search system integrating a taxonomy of image modalities and image-based data.
Implemented a front-end interface to augment traditional search results with figure thumbnails, captions, and image-modality information.
Demonstrated the system on the CORD-19 document collection.

Main Results:

Quantitative evaluation showed higher precision and recall for biomedical document retrieval using the image-enhanced system.
Qualitative evaluation with domain experts confirmed the system's benefits for biomedical search.
The system successfully integrates image modalities and figure data into the search process.

Conclusions:

Leveraging image modalities and figure data significantly improves biomedical document search.
The developed system offers a powerful new tool for researchers and clinicians seeking relevant biomedical information.
Future work includes continuous dataset expansion and model refinement.