利用深度学习对年龄融合的磁共振图像进行小儿脑肿瘤分类

Iulian Emil Tampu, Tamara Bianchessi, Ida Blystad, Peter Lundberg, Per Nyman, Anders Eklund, Neda Haj-Hosseini
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摘要

目的 实施和评估基于深度学习的方法,对磁共振数据中的小儿脑肿瘤进行分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pediatric brain tumor classification using deep learning on MR-images with age fusion
Purpose To implement and evaluate deep learning-based methods for the classification of pediatric brain tumors in MR data.
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