Different diseases occur in the brain. For instance, hereditary and progressive diseases
affect and degenerate the white matter. Although addressing, diagnosing, and treating …

Tumors rank among the most prevalent and lethal diseases worldwide, emphasizing the
paramount importance of early detection in mitigating mortality rates. There has been a …

Abstract Background and Objective Female Genital Tuberculosis (FGTB) has a major impact
on female fertility but it can be effectively treated on timely diagnosis. Early, objective and …

This research aims to work on the specific medical domain. In this work, retrieval of the head–
neck medical images from a database is discussed. Content-based medical image retrieval …

The publisher has retracted this article in agreement with the Editor-in-Chief. The article was
submitted to be part of a guest-edited issue. An investigation by the publisher found a …

Medical imaging, a method of producing pictorial depictions pertaining to body's inner parts
is utilized in medical intervention and clinical research for exposing unseen interior …

The main goal of this paper is to evaluate the performance of deep learning with Residual
Attention Network (RAN) for brain tumour classification. Digitalised Magnetic Resonance …

Image retrieval is the most interesting technique which is being used today in our digital
world. CBIR, commonly expanded as Content Based Image Retrieval is an image …

Brain tumor is one of the health problems faced by human beings. It often leads to death of
people. Detecting it early can help in taking treatment and improve quality of life. The …

This paper presents an ideal method for object tracking directly in the compressed domain in
video sequences. An enhanced rotationinvariant image operator called Largest Difference …