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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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An image selection framework for automatic report generation.

Changhun Hyun1, Chan Hur1, Hyeyoung Park1

  • 1Computer Science Engineering, Kyungpook National University, Daegu, South Korea.

Multimedia Tools and Applications
|May 23, 2022
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Summary
This summary is machine-generated.

This study introduces an image selection framework to enhance automatic report generation. It effectively recommends relevant images by combining text and visual data, improving report completeness and readability.

Keywords:
Automatic image selectionAutomatic report generationImage filteringImage re-rankingImage retrieval

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Area of Science:

  • Computer Science
  • Information Retrieval
  • Artificial Intelligence

Background:

  • The proliferation of Internet of Things (IoT) and social network services (SNS) fuels big data growth.
  • Information overload from big data necessitates organized information retrieval systems.
  • Automatic report generation requires efficient data extraction and summarization.

Purpose of the Study:

  • To develop an image selection framework for automatic report generation.
  • To enhance report completeness and readability through relevant image recommendations.
  • To address the challenge of finding suitable images within large datasets.

Main Methods:

  • Combining textual information from text-based image retrieval.
  • Integrating visual features from content-based image retrieval.
  • Implementing an image filtering module to exclude unsuitable images.

Main Results:

  • The proposed framework successfully recommends images that align with user intent.
  • Experimental results on two datasets demonstrate the method's effectiveness.
  • Comparative analysis shows superior performance against state-of-the-art approaches.

Conclusions:

  • The developed image selection framework is practical for automatic report generation.
  • Combining textual and visual features improves image relevance in reports.
  • The filtering module enhances the suitability of selected images for reports.