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Unsupervised machine learning using K-means identifies radiomic subgroups of pediatric low-grade gliomas that correlate with key molecular markers |
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Titel: |
Unsupervised machine learning using K-means identifies radiomic subgroups of pediatric low-grade gliomas that correlate with key molecular markers |
Auteur: |
Haldar, Debanjan Kazerooni, Anahita Fathi Arif, Sherjeel Familiar, Ariana Madhogarhia, Rachel Khalili, Nastaran Bagheri, Sina Anderson, Hannah Shaikh, Ibraheem Salman Mahtabfar, Aria Kim, Meen Chul Tu, Wenxin Ware, Jefferey Vossough, Arastoo Davatzikos, Christos Storm, Phillip B. Resnick, Adam Nabavizadeh, Ali |
Verschenen in: |
Neoplasia |
Paginering: |
Jaargang 36 () nr. C pagina's p. |
Jaar: |
2023 |
Inhoud: |
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Uitgever: |
Published by Elsevier B.V. |
Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
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