Results 11 to 20 of about 36,977,793 (187)
Cross-modality sub-image retrieval using contrastive multimodal image representations [PDF]
Scientific ReportsIn tissue characterization and cancer diagnostics, multimodal imaging has emerged as a powerful technique. Thanks to computational advances, large datasets can be exploited to discover patterns in pathologies and improve diagnosis. However, this requires
Eva Breznik +3 more
doaj +2 more sources
An adaptive approach for image organisation and retrieval [PDF]
, 2003 We propose and evaluate an adaptive approach towards content-based image retrieval (CBIR), which is based on the Ostensive Model of developing information needs.
Urban, J. +2 more
core +8 more sources
Wasit Journal of Computer and Mathematics Science, 2023 The content-based image retrieval (CBIR) method operates on the low-level visual features of the user input query object, which makes it difficult for users to formulate the query and also does not provide adequate retrieval results.
Rohit Sharma, Bipin Rai, Shubham Sharma
doaj +1 more source
Content Based Image Retrieval (CBIR) in Remote Clinical Diagnosis and Healthcare [PDF]
arXiv.org, 2016 Content-Based Image Retrieval (CBIR) locates, retrieves and displays images alike to one given as a query, using a set of features. It demands accessible data in medical archives and from medical equipment, to infer meaning after some processing.
A. E. Herrmann, Vania V. Estrela
semanticscholar +1 more source
COMPARISON STUDY BETWEEN IMAGE RETRIEVAL METHODS
Iraqi Journal of Information & Communication Technology, 2022 Searching for a relevant image in an archive is a problematic research issue for the computer vision research community. The majority of search engines retrieve images using traditional text-based approaches that rely on captions and metadata. Extensive
Zahraa H. Al-Obaide, Ayad A. Al-Ani
doaj +1 more source
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 +15 more
doaj +1 more source
Content-based medical image retrieval by spatial matching of visual words
Journal of King Saud University: Computer and Information Sciences, 2022 Content-Based Image Retrieval (CBIR) systems have recently emerged as one of the most promising and best image retrieval paradigms. To pacify the semantic gap associated with CBIR systems, the Bag of Visual Words (BoVW) techniques are now increasingly ...
P. Shamna +2 more
doaj +1 more source
An Investigation in Applying Image Retrieval Techniques to X-Ray Engineering Pictures [PDF]
Using image retrieval techniques in analysing Non-destructive testing reults is a new challenge in both computing science and engineering applications.
Lu, Joan +3 more
core +4 more sources
An Extensible Query Language for Content Based Image Retrieval [PDF]
, 2008 One of the most important bits of every search engine is the query interface. Complex interfaces may cause users to struggle in learning the handling. An example is the query language SQL.
Lu, Joan +5 more
core +4 more sources
IET Image Processing, Volume 17, Issue 9, Page 2748-2763, 20 July 2023., 2023 Two models are proposed to extract the global representations of the images for image retrieval, and these models are able to perform a single‐stage search. This is meaningful because the speed of retrieval is faster and the extracted image features occupy less storage footprint. Abstract Content‐based image retrieval (CBIR) is the problem of searching
Jinliang Yao +3 more
wiley +1 more source