AI powered multi feature fusion framework for retrieving images using color, texture and shape descriptors. [PDF]
Naveen K, Parvathi RMS.
europepmc +1 more source
An Agent-based CBIR System for Medical Images
The growing number of image acquisition and storage systems in the digital world demand for the new retrieval methods. Most of the existing retrieval methods use textual information, which has been mainly entered manually for every image in the image ...
Sana Amanat; Department of Computer Science and Engineering, University of Engineering and Technology, Lahore. +5 more
core
Energy-aware and trust-based secure routing in manets using swarm intelligence techniques. [PDF]
Hemalatha S +3 more
europepmc +1 more source
An Efficient CBIR System for Medical Images Using Neural Network
This paper introduces an innovative Content-Based Image Retrieval (CBIR) system that has been specifically developed for medical databases. Its objective is to resolve the drawbacks of conventional keyword-based search approaches when considering the ...
Chunnu Lal, Monti Saini,
core
A novel approach in diagnosing knee osteoarthritis for content based image retrieval in big data analytics and medical images. [PDF]
Bozdag PG +7 more
europepmc +1 more source
Transfer Learning-Based Ensemble of CNNs and Vision Transformers for Accurate Melanoma Diagnosis and Image Retrieval. [PDF]
Sarıateş M, Özbay E.
europepmc +1 more source
Test Case Selection Using CBIR and Clustering
Choosing test cases for the optimization process of information systems testing is crucial, because it helps to eliminate unnecessary and redundant testing data. However, its use in systems that address complex domains (e.g.
Delamaro, Márcio Eduardo +2 more
core
Introducing an efficient method for feature extraction in image retrieval systems. [PDF]
Zhao X, He F, Li K.
europepmc +1 more source
Content-Based 3D Image Retrieval and a ColBERT-Inspired Re-ranking for Tumor Flagging and Staging. [PDF]
Khun Jush F, Vogler S, Lenga M.
europepmc +1 more source
PestDetectSim: an integrated approach for crop pest diagnosis using object detection and similarity-based image retrieval. [PDF]
Lee J +5 more
europepmc +1 more source

