Classification of high-grade glioblastoma and single brain metastases using a new SCAT-inception model trained with MRI images

Classification of high-grade glioblastoma and single brain metastases using a new SCAT-inception model trained with MRI images

Background and objectivesGlioblastoma (GBM) and brain metastasis (MET) are the two most common intracranial tumors. However, the different pathogenesis of the two tumors leads to completely different treatment options. In terms of magnetic resonance imaging (MRI), GBM and MET are extremely similar,...

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Bibliographic Details
Main Authors: Cheng Lv, Xu-Jun Shu, Hui Chang, Jun Qiu, Shuo Peng, Keping Yu, Sheng-Bo Chen, Hong Rao
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Neuroscience
Subjects:
deep learning
glioblastoma
brain metastasis
MRI
SCAT-inception
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2024.1349781/full

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https://www.frontiersin.org/articles/10.3389/fnins.2024.1349781/full

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