Results 121 to 130 of about 4,123 (220)

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

Análisis de usabilidad de sistemas CBIR | User friendliness of CBIR systems analysis

, 2003
Los sistemas CBIR permiten recuperar imágenes digitales a partir de atributos visuales, tales como colores, formas o texturas, principalmente. Para dar a conocer esta tecnología a las comunidades de usuarios y centros de documentación nacionales, se ...
Pérez Álvarez, Sara
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

CBIR algorithms

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

A causality-enhanced multiresolution residual learning framework for image retrieval with fast osprey optimization. [PDF]

Sci Rep
Zeain AY, Ibrahim AA.
europepmc   +1 more source

Retrieval of archival moving imagery: CBIR outside the frame?

, 2002
Digitization may offer a means of making archival film content more accessible by allowing moving imagery to be delivered via the Internet and by CBIR-enabled mitigation of the effects of archivists' inconsistent indexing practices. This paper reports on
Enser, P.G.B., Sandom, C.J.
core  

Entropy guided multi level feature fusion network for high precision content based image retrieval. [PDF]

Sci Rep
Lavanya M, Vennira Selvi G, Gopi R, Vimal Raj AC.   +3 more
europepmc   +1 more source

Dual-path deep learning framework for accurate and interpretable brain tumor diagnosis. [PDF]

BMC Med Inform Decis Mak
Haroun RF, Khater HA, Mohamed MA, Abdelfattah MG.   +3 more
europepmc   +1 more source

On the Potential of Incorporating Knowledge of Human Visual Attention into CBIR Systems

, 2006
Content-based image retrieval (CBIR) systems have been actively investigated over the past decade. Several existing CBIR prototypes claim to be designed based on perceptual characteristics of the human visual system, but even those who do are far from ...
Oge Marques, Liam M. Mayron, Gustavo B. Borba   +2 more
core  

Enhanced content-based image retrieval via hybrid color, texture, and deep learning features. [PDF]

Sci Rep
Tyagi S, Shukla P, Singh P, Tekchandani H.   +3 more
europepmc   +1 more source