https://www.selleckchem.com/pr....oducts/abemaciclib.h
Model tumor classification accuracy was 92% with an F score of 0.80. The model was most accurate at predicting diffuse midline glioma of the pons, followed by pilocytic astrocytoma and medulloblastoma. Ependymoma prediction was the least accurate. Tumor type classification accuracy and F score were higher than those of 2 of the 4 radiologists. We present a multi-institutional deep learning model for pediatric posterior fossa tumor detection and classification with the potential to augment and improve the accuracy of radiologic diagn
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