Improving performance robustness of subject-based brain segmentation software

PURPOSE: Artificial intelligence (AI)-based image analysis tools to quantify the brain have become commercialized. However, insufficient data for learning and scanner specificity is a limitation for achieving high quality. In the present study, the performance of personalized brain segmentation soft...

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Detalles Bibliográficos
Autores principales: Park, Jong-Hyeok, Park, Kyung-Il, Kim, Dongmin, Lee, Myungjae, Kang, Shinuk, Kang, Seung Joo, Yoon, Dae Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Encephalitis and Neuroinflammation Society 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295817/
https://www.ncbi.nlm.nih.gov/pubmed/37469714
http://dx.doi.org/10.47936/encephalitis.2022.00108

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295817/
https://www.ncbi.nlm.nih.gov/pubmed/37469714
http://dx.doi.org/10.47936/encephalitis.2022.00108

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