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Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks

Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks

Khashayar Namdar
Matthias W. Wagner
C. Hawkins
U. Tabori
B. Ertl-Wagner
Farzad Khalvati
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Papers citing "Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks"

1 / 1 papers shown
Title
Improving Deep Learning Models for Pediatric Low-Grade Glioma Tumors Molecular Subtype Identification Using 3D Probability Distributions of Tumor Location
Improving Deep Learning Models for Pediatric Low-Grade Glioma Tumors Molecular Subtype Identification Using 3D Probability Distributions of Tumor Location
Khashayar Namdar
M. Wagner
Kareem Kudus
C. Hawkins
U. Tabori
B. Ertl-Wagner
Farzad Khalvati
13
2
0
13 Oct 2022

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