Jun 1, 2017 · This study proposes a methodology for creating simulated medical imaging repositories, based on the indexing of model datasets, extraction of ...

Jun 1, 2017 · The DICOM export plugin can operate in two modes regarding its behaviour with pixel data. It can use real images, collected from the model ...

Assessing the relational database model for optimization of content discovery services in medical imaging repositories. Alves, Andre Pereira; Godinho, ...

Godinho T M proposed a method to create a simulated medical imaging repository based on the indexing of model datasets, the extraction of patterns, and the ...

Title. Intelligent generator of big data medical imaging repositories. Authors. Marques Godinho, Tiago; Costa, Carlos; Oliveira, José Luís. Abstract ...

This paper reviews state-of-the-art research solutions across the spectrum of medical imaging informatics, discusses clinical translation, and provides future ...

In order to improve the performance of distributed medical imaging networks, a smart routing mechanism was developed. This includes an innovative cache ...

The hope is that AI-based models can help medical providers and researchers rapidly and accurately analyze complex medical data, particularly medical imaging ( ...

Jan 31, 2024 · Big data and artificial intelligence are key elements in the medical field as they are expected to improve accuracy and efficiency in ...

GANs consist of two neural networks: a generator and a discriminator. The generator creates synthetic data from random noise and aims to produce data that are ...