Disease-Oriented Image Embedding With Pseudo-Scanner Standardization for Content-Based Image Retrieval on 3D Brain MRI

Disease-Oriented Image Embedding With Pseudo-Scanner Standardization for Content-Based Image Retrieval on 3D Brain MRI

To build a robust and practical content-based image retrieval (CBIR) system applicable to clinical brain MRI databases, we propose a new framework, disease-oriented image embedding with pseudo-scanner standardization (DI-PSS). It consists of two core techniques: data harmonization to absorb differen...

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Bibliographic Details
Main Authors: Hayato Arai, Yuto Onga, Kumpei Ikuta, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
ADNI
CBIR
convolutional auto encoders
CycleGAN
data harmonization
data standardization
Online Access:https://ieeexplore.ieee.org/document/9618959/

Internet

https://ieeexplore.ieee.org/document/9618959/

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