Results 211 to 220 of about 230,040 (300)

Integrating medical imaging datasets with blockchain wallets: A case study on ARDS-COVID19 patients. [PDF]

open access: yesPLoS One
Esperança M   +5 more
europepmc   +1 more source

NeuroConText: Contrastive learning for neuroscience meta-analysis with rich text representation. [PDF]

open access: yesImaging Neurosci (Camb)
Ghayem F   +4 more
europepmc   +1 more source

Content Based Image Retrieval

2024 14th International Conference on Dependable Systems, Services and Technologies (DESSERT)
This paper provides an in-depth analysis of advanced deep learning-based hashing techniques specifically designed for Content-Based Image Retrieval (CBIR) within extensive datasets.
Kyriakos Stefanidis   +3 more
openaire   +2 more sources

A Machine Learning Model for Content-Based Image Retrieval

2023 2nd International Conference for Innovation in Technology (INOCON), 2023
With advancement in the modern era, digital data is the new asset. Now making large image datasets is not that laborious task with improvement in image collection and data storage technology.
Kunal   +3 more
semanticscholar   +1 more source

Content-based Image Retrieval by Using Deep Learning for Interstitial Lung Disease Diagnosis with Chest CT.

Radiology, 2021
Background Evaluation of interstitial lung disease (ILD) at CT is a challenging task that requires experience and is subject to substantial interreader variability. Purpose To investigate whether a proposed content-based image retrieval (CBIR) of similar
J. Choe   +15 more
semanticscholar   +1 more source

Localized content based image retrieval

Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval, 2005
We define localized content-based image retrieval as a CBIR task where the user is only interested in a portion of the image, and the rest of the image is irrelevant. In this paper we present a localized CBIR system, Accio, that uses labeled images in conjunction with a multiple-instance learning algorithm to first identify the desired object and ...
Rouhollah, Rahmani   +4 more
openaire   +2 more sources

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