Letter to editor regarding article “fully automated radiomics-based machine learning models for multiclass classification of single brain tumors: Glioblastoma, lymphoma, and metastasis”

Sarv Priya; Caitlin Ward; Girish Bathla

doi:10.1016/j.neurad.2022.12.006

Letter to editor regarding article “fully automated radiomics-based machine learning models for multiclass classification of single brain tumors: Glioblastoma, lymphoma, and metastasis”

Sarv Priya, Caitlin Ward, Girish Bathla

Biostatistics

Research output: Contribution to journal › Letter › peer-review

Original language	English (US)
Pages (from-to)	40-41
Number of pages	2
Journal	Journal of Neuroradiology
Volume	50
Issue number	1
DOIs	https://doi.org/10.1016/j.neurad.2022.12.006
State	Published - Feb 2023

Bibliographical note

Funding Information:
This work did not receive any grant from funding agencies in the public, commercial, or not-for-profit sectors.

PubMed: MeSH publication types

Letter
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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.neurad.2022.12.006

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author = "Sarv Priya and Caitlin Ward and Girish Bathla",

note = "Funding Information: This work did not receive any grant from funding agencies in the public, commercial, or not-for-profit sectors.",

year = "2023",

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doi = "10.1016/j.neurad.2022.12.006",

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Letter to editor regarding article “fully automated radiomics-based machine learning models for multiclass classification of single brain tumors: Glioblastoma, lymphoma, and metastasis”

Bibliographical note

PubMed: MeSH publication types

UN SDGs

Publisher link

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Cite this