Observing deep radiomics for the classification of glioma grades

Abstract 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, beca...

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Auteurs principaux: Kazuma Kobayashi, Mototaka Miyake, Masamichi Takahashi, Ryuji Hamamoto
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/7d9ab30c52ab416ebfdf238913536662
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