Results 1 to 10 of about 1,137 (158)

CBIR-SAR System Using Stochastic Distance. [PDF]

Sensors (Basel), 2023
This article proposes a system for Content-Based Image Retrieval (CBIR) using stochastic distance for Synthetic-Aperture Radar (SAR) images. The methodology consists of three essential steps for image retrieval. First, it estimates the roughness (α^) and scale (γ^) parameters of the GI0 distribution that models SAR data in intensity.
Sousa AD, Silva PHDS, Silva RRV, Rodrigues FAÀ, Medeiros FNS.   +4 more
europepmc   +4 more sources

Saliency-Enhanced Content-Based Image Retrieval for Diagnosis Support in Dermatology Consultation: Reader Study [PDF]

JMIR Dermatology, 2023
BackgroundPrevious research studies have demonstrated that medical content image retrieval can play an important role by assisting dermatologists in skin lesion diagnosis. However, current state-of-the-art approaches have not been
Mathias Gassner, Javier Barranco Garcia, Stephanie Tanadini-Lang, Fabio Bertoldo, Fabienne Fröhlich, Matthias Guckenberger, Silvia Haueis, Christin Pelzer, Mauricio Reyes, Patrick Schmithausen, Dario Simic, Ramon Staeger, Fabio Verardi, Nicolaus Andratschke, Andreas Adelmann, Ralph P Braun   +15 more
doaj   +2 more sources

Evaluation of a content-based image retrieval system for radiologists in high-resolution CT of interstitial lung diseases [PDF]

European Radiology Experimental
Background This retrospective study aims to evaluate the impact of a content-based image retrieval (CBIR) application on diagnostic accuracy and confidence in interstitial lung disease (ILD) assessment using high-resolution computed tomography CT (HRCT).
Benjamin Böttcher, Marly van Assen, Roberto Fari, Philipp L. von Knebel Doeberitz, Eun Young Kim, Eugene A. Berkowitz, Felix G. Meinel, Carlo N. De Cecco   +7 more
doaj   +2 more sources

Smart adaptive learning and optimized feature clustering for enhanced image retrieval [PDF]

Scientific Reports
In recent years, Content-Based Image Retrieval (CBIR) has faced increasing challenges due to the rapid growth of multimedia content on the Internet. One of the primary difficulties in CBIR lies in identifying dissimilarities between various objects. This
P. Umaeswari, Sujata Patil, Parameshachari Bidare Divakarachari, Przemysław Falkowski-Gilski   +3 more
doaj   +2 more sources

Content-based image retrieval assists radiologists in diagnosing eye and orbital mass lesions in MRI [PDF]

Scientific Reports
Diagnosing eye and orbit pathologies through radiological imaging presents considerable challenges due to their low prevalence, the extensive range of possible conditions, and their variable presentations, necessitating substantial domain-specific ...
Josef Lorenz Rumberger, Winna Lim, Benjamin Wildfeuer, Elisa Birgit Sodemann, Augustin Lecler, Simon Stemplinger, Ahi Sema Issever, Ali Sepahdari, Sönke Langner, Dagmar Kainmueller, Bernd Hamm, Katharina Erb-Eigner   +11 more
doaj   +2 more sources

Optimizing visual data retrieval using deep learning driven CBIR for improved human machine interaction [PDF]

Scientific Reports
Content-based image retrieval (CBIR) systems have formidable obstacles in connecting human comprehension with machine-driven feature extraction due to the exponential expansion of visual data across many areas.
Arulmozhi P, Gopi R
doaj   +2 more sources

Content-Based Image Retrieval and Image Classification System for Early Prediction of Bladder Cancer [PDF]

Diagnostics
Background/Objectives: Bladder cancer is a type of cancer that begins in the cells lining the inner surface of the bladder. Although it usually begins in the bladder, it can spread to surrounding tissues, lymph nodes, and other organs in later stages ...
Muhammed Yildirim
doaj   +2 more sources

Convolutional Fine-Tuned Threshold Adaboost approach for effectual content-based image retrieval [PDF]

Scientific Reports
Applications for content-based image retrieval (CBIR) are found in a wide range of industries, including e-commerce, multimedia, and healthcare. CBIR is essential for organising and obtaining visual data from massive databases.
Robert Cep, Muniyandy Elangovan, Janjhyam Venkata Naga Ramesh, Mandeep Kaur Chohan, Amit Verma   +4 more
doaj   +2 more sources

Comparative Analysis on Hybrid Content & Context-basedimage Retrieval System [PDF]

Journal of Information Technology Management, 2021
Learning effective segment depictions and resemblance measures are fundamental to the recuperation execution of a substance based picture recuperation (CBIR) structure.
Arpana Mahajan, Sanjay Chaudhary, Sheshang Degadwala   +2 more
doaj   +3 more sources

An Improved Content Based Image Retrieval Technique by Exploiting Bi-layer Concept

UHD Journal of Science and Technology, 2021
Applications for retrieving similar images from a large collection of images have increased significantly in various fields with the rapid advancement of digital communication technologies and exponential evolution in the usage of the Internet.
Shalaw Faraj Salih, Alan Anwer Abdulla
doaj   +1 more source