Computed tomography image (CTI) sequence is essentially a time‐series data that typically
consists of a large amount of nearby and similar CTIs. Due to the high communication and …

Content-based multimedia retrieval (CBMR) has been an active research domain since the
mid 1990s. In medicine visual retrieval started later and has mostly remained a research …

Pathology images of histopathology can be acquired from camera-mounted microscopes or
whole-slide scanners. Utilizing similarity calculations to match patients based on these …

This paper presents a proposed method for medical image retrieval in order to search in a
database for an image that is similar to a query image. The proposed Medical Image …

Image content analysis plays a major role in image classification, retrieval, and indexing
together with object and scene recognition. Numerous image content descriptors are …

With the increasing popularity of social photograph-sharing Web sites, a huge mass of
digital images, associated with a set of tags voluntarily introduced by amateur …

Abstract Background/Objectives: The main objective of this work is to obtain an efficient
brain tumor image retrieval and classification using Deep Neural Network (DNN) …

A timely overview of cutting edge technologies for multimedia retrieval with a special
emphasis on scalability The amount of multimedia data available every day is enormous …

This doctoral proposal introduces a novel method for detecting and diagnosing various
thoracic diseases in chest images using advanced deep-learning approaches. The research …

The ever-growing multi-modal images pose great challenges to local image storage and
retrieval systems. Cloud computing provides a solution to large-scale image data storage …