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Computer Vision Techniques for Content-Based Image Retrieval from Large Medical Databases.

Avi Kak, Christina Pavlopoulou

Open publisher page 6 citations

Abstract

The main goal of content based image retrieval is to efficiently retrieve images that are visually similar to a query image. In this paper we will focus on content based image retrieval from large medical databases, outline the problems specific in this area and describe the recent advances in the field. We will also present some of the more significant results obtained with ASSERT (Automatic Search and Selection Engine with Retrieval Tools), the content based image retrieval system developed in our laboratory. 1

About this research paper

What this paper is about

The main goal of content based image retrieval is to efficiently retrieve images that are visually similar to a query image. In this paper we will focus on content based image retrieval from large medical databases, outline the problems specific in this area and describe the recent advances in the field. We will also present some of the more significant results obtained with ASSERT (Automatic Search and Selection Engine with Retrieval Tools), the content based image retrieval system developed in our laboratory. 1

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Method / approach

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Available abstract

The main goal of content based image retrieval is to efficiently retrieve images that are visually similar to a query image. In this paper we will focus on content based image retrieval from large medical databases, outline the problems specific in this area and describe the recent advances in the field. We will also present some of the more significant results obtained with ASSERT (Automatic Search and Selection Engine with Retrieval Tools), the content based image retrieval system developed in our laboratory. 1

Key concepts: Computer science, Image retrieval, Information retrieval, Content-based image retrieval, Automatic image annotation, Focus (optics), Field (mathematics), Selection (genetic algorithm)

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