Medical Image Databases: A Content-based Retrieval Approach

Wavelet optimization for content-based image retrieval in medical databases

We propose in this article a content-based image retrieval (CBIR) method for diagnosis aid in medical fields. In the proposed system, images are indexed in a generic fashion, without extracting domain-specific features: a signature is built for each image from its wavelet transform. These image signatures characterize the distribution of wavelet coefficients in each subband of the decomposition...

Content-Based Medical Image Retrieval in Object Oriented Databases

This work describes the concepts used in an Object Manager aimed at storing medical images as one more data type associated to objects. Images can be retrieved through queries based on the graphic contents of the stored images. The usual approach uses icons and textual attributes stored with the images to specify the queries. This work uses a novel modeling technique to define the “image data t...

CONTENT BASED IMAGE RETRIEVAL SYSTEM FOR MEDICAL DATABASES PhD Summary

A Content-Based Approach to Medical Image Database Retrieval

Content-based image retrieval (CBIR) makes use of image features, such as color and texture, to index images with minimal human intervention. Content-based image retrieval can be used to locate medical images in large databases. This chapter introduces a content-based approach to medical image retrieval. Fundamentals of the key components of content-based image retrieval systems are introduced ...

A Content-Based Approach to Image Retrieval in Medical Applications

INTRODUCTION Digital imaging has become the most prominent modality in medicine. Beside computed tomography (CT) or nuclear medicine, which have been always digital, plain radiography, endoscopy, and microscopy are nowadays captured directly digital, too. Picture archiving and communication systems (PACS) have been established in the hospitals all over the world to manage these information reso...