Content-based medical image retrieval (CBMIR) is one of the most challenging and
ambiguous tasks used to minimize the semantic gap between images and human queries in …

Medical imaging provides the convenience of physicians to analyze the disease by
providing visual data of the body parts required for clinical research and treatment. Today …

Brain tumors are a serious and death-defying disease for human life. Discovering an
appropriate brain tumor image from a magnetic resonance imaging (MRI) archive is a …

Biomedical image retrieval is a crucial side of computer-aided diagnosis. It helps the
radiologist and medical specialist to spot and perceive the specific disease. This paper …

Content-Based Image Retrieval (CBIR) system for medical applications is one of the
trending research fields in computer vision and Digital image processing over the last 20 …

In this paper a general framework for a privacy preserving medical Content Based Image
Retrieval (CBIR) is presented. We illustrate how a homomorphic encryption scheme can be …

The level of digitization is increasing globally on a daily basis. This change is not only met
with enthusiasm, because it fuels people's fundamental fear of being substituted. Many …

Now a day images or pictures play a prominent role in the world. Content-based image
retrieval (CBIR) systems are used to retrieve similar images based on query image. This …