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

Jennifer L Quon Wasif Bala L C Chen Jason N Wright Lily H Kim Michelle Han Katie Shpanskaya Edward H Lee Elizabeth Tong Michael Iv J Seekins Matthew P Lungren Kristina R M Braun T Young Poussaint Suzanne Laughlin Michael D Taylor Robert M Lober Hannes Vogel Paul Graham Fisher Gerald A Grant Vijay Ramsawami Nicholas A Vitanza Chang Y Ho Michael Steven Brent Edwards Samuel H Cheshier Kristen W Yeom

Published in: AJNR. American journal of neuroradiology (2020)

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.

Keyphrases

deep learning
artificial intelligence
convolutional neural network
machine learning
loop mediated isothermal amplification
label free
real time pcr
risk assessment
climate change
quantum dots