This chapter proposes a deep learning system for medical image retrieval based on content
by training a profound convolutionary neural network for the purpose of classification. The …

With a widespread use of digital imaging data in hospitals, the size of medical image
repositories is increasing rapidly. This causes difficulty in managing and querying these …

Content-based image retrieval (CBIR) is a recent method used to retrieve different types of
images from repositories. The traditional content-based medical image retrieval (CBMIR) …

Content-Based medical image retrieval (CBMIR) is been highly active research area from
past few years. The retrieval performance of a CBMIR system crucially depends on the …

Introduction: Content-based image retrieval (CBIR) retrieves the images from the vast image
repositories. Research in the CBIR domain gets attention due to the massive number of …

Ethiopia is one of the countries where overall health service has been compromised by
inadequate & poorly maintained infrastructure and scarcity of health professionals …

Abstract Content-Based Image Retrieval is an accurate characterization of visual information
used for medical and natural image classification, retrieval, face recognition, etc. In recent …

Avascular Necrosis (AN) is a cause of muscular-skeletal disability. As it is common amongst
the younger people, early intervention and prompt diagnosis is requisite. This disease …

Abstract Content-based Image Retrieval (CBIR) system uses the visual information and
features present within an image, to find the most analogous images from any gigantic …

Medical imaging is essential to the medical profession because it gives physicians access to
crucial data on interior body structures for clinical analysis and treatment decisions that help …