Classification of Pediatric Posterior Fossa Tumors Using Convolutional Neural Network and Tabular Data

Classification of Pediatric Posterior Fossa Tumors Using Convolutional Neural Network and Tabular Data

Posterior fossa tumors (PFT) are the most common tumors in children. Differentiation between the various PFT types is critical, as different tumors have diverse treatment approaches. This study proposes the use of fused architecture comprising two neural networks, a pre-trained ResNet-50 Convolution...

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Bibliographic Details
Main Authors: Moran Artzi, Erez Redmard, Oron Tzemach, Jonathan Zeltser, Omri Gropper, Jonathan Roth, Ben Shofty, Danil A. Kozyrev, Shlomi Constantini, Liat Ben-Sira
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep learning
convolutional neural networks
posterior fossa tumors
tabular data
Online Access:https://ieeexplore.ieee.org/document/9446147/

Internet

https://ieeexplore.ieee.org/document/9446147/

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