Development and validation of an ensemble artificial intelligence model for comprehensive imaging quality check to classify body parts and contrast enhancement

BACKGROUND: Despite the dramatic increase in the use of medical imaging in various therapeutic fields of clinical trials, the first step of image quality check (image QC), which aims to check whether images are uploaded appropriately according to the predefined rules, is still performed manually by...

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Detalles Bibliográficos
Autores principales: Na, Seongwon, Sung, Yu Sub, Ko, Yousun, Shin, Youngbin, Lee, Junghyun, Ha, Jiyeon, Ham, Su Jung, Yoon, Kyoungro, Kim, Kyung Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107169/
https://www.ncbi.nlm.nih.gov/pubmed/35562705
http://dx.doi.org/10.1186/s12880-022-00815-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107169/
https://www.ncbi.nlm.nih.gov/pubmed/35562705
http://dx.doi.org/10.1186/s12880-022-00815-4

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