Deep Learning for Pediatric Posterior Fossa Tumor Detection and Classification: A Multi-Institutional Study [FUNCTIONAL]

CONCLUSIONS:
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 diagnosis.

Source: American Journal of Neuroradiology - September 8, 2020 Category: Radiology Authors: Quon, J. L., Bala, W., Chen, L. C., Wright, J., Kim, L. H., Han, M., Shpanskaya, K., Lee, E. H., Tong, E., Iv, M., Seekins, J., Lungren, M. P., Braun, K. R. M., Poussaint, T. Y., Laughlin, S., Taylor, M. D., Lober, R. M., Vogel, H., Fisher, P. G., Grant, Tags: FUNCTIONAL Source Type: research