Tumor-location-guided CNNs for Pediatric Low-grade Glioma Molecular Biomarker Classification Using MRI. (arXiv:2210.07287v1 [cs.CV])

Pediatric low-grade glioma (pLGG) is the most common type of brain cancer
among children, and the identification of molecular markers for pLGG is crucial
for successful treatment planning. Current standard care is biopsy, which is
invasive. Thus, the non-invasive imaging-based approaches, where Machine
Learning (ML) has a high potential, are impactful. Recently, we developed a
tumor-location-based algorithm and demonstrated its potential to differentiate
pLGG molecular subtypes. In this work, we first reevaluated the performance of
the location-based algorithm on a …

arxiv classification cnns location low