Retrieval of exudate‐affected retinal image patches using Siamese quantum classical neural network

Autor: Mahua Nandy Pal, Minakshi Banerjee, Ankit Sarkar

Publikováno v: IET Quantum Communication, Vol 3, Iss 1, Pp 85-98 (2022)

Abstract Deep neural networks were previously used in the arena of image retrieval. Siamese network architecture is also used for image similarity comparison. Recently, the application of quantum computing in different fields has gained research inte

Externí odkaz: https://doaj.org/article/cddf080ea817419ca6f33a97717c71e1

Fast Pattern Spectra using Tree Representation of the Image for Patch Retrieval

Autor: Jérôme Moré, Behzad Mirmahboub, David Youssefi, François Merciol, Sébastien Lefèvre, Alain Giros

Publikováno v: Discrete Geometry and Mathematical Morphology 2021
DGMM 2021-IAPR International Conference on Discrete Geometry and Mathematical Morphology
DGMM 2021-IAPR International Conference on Discrete Geometry and Mathematical Morphology, May 2021, Uppsala / Virtual, Sweden. pp.107-119, ⟨10.1007/978-3-030-76657-3_7⟩
Lecture Notes in Computer Science ISBN: 9783030766566
DGMM
Discrete Geometry and Mathematical Morphology 2021, pp.107-119, 2021, ⟨10.1007/978-3-030-76657-3_7⟩

International audience; We extend the notion of content based image retrieval to patch retrieval where the goal is to find the similar patches to a query patch in a large image. Naive searching for similar patches by sequentially computing and compar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7b59e72f3f4756fcb622888043b8ec9
https://hal.science/hal-03354933/file/dgmm2021behzad.pdf

Accelerating content-based image-patch retrieval (CBIR) algorithms using HPC architectures and code optimization methods

Autor: Re, Silvina

Thesis submitted for Master's Degree Defense, by Silvina Re on January 2014.Universitat Oberta De Catalunya. Director: Dr. Ivan Rodero Castro, Computational Imaging and Biomedical Informatics, Cancer Institute of New Jersey and Rutgers Medical School

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::061700539aed68cbd17d8f3aa9deb123

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