Results 51 to 60 of about 4,998 (209)
Diagnostics, 2021 To evaluate the reader’s diagnostic performance against the ground truth with and without the help of a novel content-based image retrieval system (CBIR) that retrieves images with similar CT patterns from a database of 79 different interstitial lung ...
Tobias Pogarell +7 more
doaj +1 more source
International Insolvency Review, Volume 35, Issue 1, Page 260-288, Spring 2026.Abstract The United Nations Commission on International Trade Law (UNCITRAL) has produced the most robust international insolvency regime applicable to countries around the world. The Model Law on Cross‐Border Insolvency (1997) is widely accepted and already very popular among African countries.
Pontian N. Okoli
wiley +1 more source
Relevance feedback and intelligent technologies in content-based image retrieval system for medical applications [PDF]
, 2004 Relevance feedback has gained much interest from researchers in the discipline of content-based image retrieval (CBIR). However, such approach is rarely used in the content-based medical image retrieval (CBMIR) systems.
Fung, C.C., Chung, K.P.
core
Journal of Intelligent Systems, 2016 In this work, we present a combination of edge feature and distribution of the gradient orientation of an object technique for content-based image retrieval (CBIR). First, the bidimensional empirical mode decomposition (BEMD) technique is employed to get
Kavitha H., Sudhamani M.V.
doaj +1 more source
Applying Intuitionistic Fuzzy Sets to Improve Fuzzy Content-based Image Retrieval Systems [PDF]
Journal of Artificial Intelligence and Data MiningVisual features extracted from images in content-based image retrieval systems are inherently ambiguous. Consequently, applying fuzzy sets for image indexing in image retrieval systems has improved efficiency. In this article, the intuitionistic fuzzy sets
Monireh Azimi Hemat +2 more
doaj +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.Abstract Planetary missions have produced a rapidly growing archive of high‐resolution imagery, yet only a small fraction has been examined in detail. Foundation models (FMs) offer a scalable path by learning transferable representations from unlabeled data, but most vision backbones are trained on Internet imagery or Earth observation data sets that ...
J. Fang +6 more
wiley +1 more source
Brain‐RetinaNet: Detection of Brain Tumour Using an Improved RetinaNet in Magnetic Resonance Imaging
CAAI Transactions on Intelligence Technology, Volume 11, Issue 1, Page 223-237, February 2026.ABSTRACT Brain tumours disrupt the normal functioning of the brain and, if left untreated, can invade surrounding tissues, blood vessels, and nerves, posing a severe threat. Consequently, early detection is crucial to prevent tragic outcomes. Distinguishing brain tumours through manual detection poses a significant challenge given their diverse ...
Rashid Iqbal +3 more
wiley +1 more source
A Comparative Study of Image Retrieval Algorithm in Medical Imaging
JOIV: International Journal on Informatics VisualizationIn recent times, digital environments have become more complex, and the need for secure, efficient, and reliable identification systems is growing in demand. Consequently, image retrieval has emerged as a critical area focusing on artificial intelligence
Yang Muhammad Putra Abdullah +5 more
doaj +1 more source
CBIR-SAR System Using Stochastic Distance
, 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^
Fatima Nelsizeuma Sombra Medeiros +4 more
core +1 more source