Results 111 to 120 of about 4,998 (209)

Design by a CBIR System Supporting High Level Concepts

, 2002
Content Based Image Retrieval (CBIR) systems that are able to “retrieve images of Clinton with Lewinsky” are unrealistic at present. However, this area has seen much research and development activity since IBM’s QBIC announcement in 1994. The CHITRA CBIR
M. V. Ramakrishna, S. Nepal, S. Sumanasekara, S. M.M. Tahaghoghi   +3 more
core   +1 more source

Choosing a Color model in CBIR-Systems

, 2014
In the paper we study how the choice of color space affects the user-friendliness of the graphical user interface of CBIR. The pilot study was carried out on 46 students of the Department of Library and Information Science and Book Studies at the Faculty
Andrej Cimerman, Maver, Jasna, Cimerman, Andrej, Jasna Maver   +3 more
core   +1 more source

The Multiple Feature Extraction in CBIR with Relevance Feedback

, 2018
Rapid expansion of image data on internet opens the way to image retrieval systems. Most commercial image retrieval systems include text based approach which is incompetent as some features are nearly impossible to describe with text.
.Thakare, Prajakta R
core  

CBIR algorithms

Description of the content-based image retrieval algorithms to search for similar cases using the extracted features.
openaire   +1 more source

Divergent impacts of explainable AI for dermatological diagnosis on clinicians versus lay people. [PDF]

Nat Med
Xu X', Hu H, Zhang H, Wang WK, Wang R, Soenksen LR, Badri O, Jafry S, Burger E, Nwandu L, Mehta A, Duhaime EP, Qasim A, Lin H, Pereira JK, Hershon J, Mui P, Gru AA, Elhadad N, Mamykina L, Groh M, Tschandl P, Daneshjou R, Ghassemi M.   +23 more
europepmc   +1 more source

Soft Computing Based CBIR System

, 2009
Multimedia mining primarily involves, information analysis and retrieval based on implicit knowledge. The ever increasing digital image databases on the internet has created a need for using multimedia mining on these databases for effective and ...
Srinivasa, K.G., Venugopal, K.R., Patnaik, L.M.   +2 more
core  

Adaptive competitive balance regulation in professional sports leagues via graph attention networks and proximal policy optimization. [PDF]

Sci Rep
Hu X, Lin Y.
europepmc   +1 more source

Mind the gap: challenges and future directions for content-based image retrieval in clinical radiology. [PDF]

Front Radiol
Spada E, Erb-Eigner K, Pahud de Mortanges A, Reyes M, Pöllinger A.   +4 more
europepmc   +1 more source

An Efficient CBIR System for Medical Images Using Neural Network [PDF]

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  

Reliability of foundation models for image retrieval in histopathology. [PDF]

Npj Imaging
Shafique A, Qin X, Dy A, Alshamlan N, Androutsos D, Done SJ, Khademi A.   +6 more
europepmc   +1 more source