Observing deep radiomics for the classification of glioma grades

Deep learning is a promising method for medical image analysis because it can automatically acquire meaningful representations from raw data. However, a technical challenge lies in the difficulty of determining which types of internal representation are associated with a specific task, because featu...

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Detalles Bibliográficos
Autores principales: Kobayashi, Kazuma, Miyake, Mototaka, Takahashi, Masamichi, Hamamoto, Ryuji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8149679/
https://www.ncbi.nlm.nih.gov/pubmed/34035410
http://dx.doi.org/10.1038/s41598-021-90555-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8149679/
https://www.ncbi.nlm.nih.gov/pubmed/34035410
http://dx.doi.org/10.1038/s41598-021-90555-2

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