Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Yusuke Chayama"'
Publikováno v:
IEEE Access, Vol 9, Pp 165326-165340 (2021)
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
Externí odkaz:
https://doaj.org/article/1fcba5958f47423db0c314aeaf745dfb
Publikováno v:
IEEE Access, Vol 9, Pp 165326-165340 (2021)
To build a robust and practical content-based image retrieval (CBIR) system that is applicable to a clinical brain MRI database, we propose a new framework -- Disease-oriented image embedding with pseudo-scanner standardization (DI-PSS) -- that consi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfbb00a05e953c5fbd3687d48a5f8cb2
https://doi.org/10.1109/access.2021.3129105
https://doi.org/10.1109/access.2021.3129105
Publikováno v:
IEEE BigData
Increasing numbers of MRI brain scans, improvements in image resolution, and advancements in MRI acquisition technology are causing significant increases in the demand for and burden on radiologists' efforts in terms of reading and interpreting brain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5075f8034c0021ac935d1cadff2ad12
Publikováno v:
EMBC
Content-based image retrieval (CBIR) is a technology designed to retrieve images from a database based on visual features. While the CBIR is highly desired, it has not been applied to clinical neuroradiology, because clinically relevant neuroradiolog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f99ef5f3095b05a3e410070a6be14394
https://pubmed.ncbi.nlm.nih.gov/30441502
https://pubmed.ncbi.nlm.nih.gov/30441502