Litcius/Paper detail

nnU-Net–based Segmentation of Tumor Subcompartments in Pediatric Medulloblastoma Using Multiparametric MRI: A Multi-institutional Study

Rohan Bareja, Marwa Ismail, Douglas Martin, Ameya Nayate, Ipsa Yadav, Murad Labbad, Prateek Dullur, Sanya Garg, Benita Tamrazi, Ralph Salloum, Ashley Margol, Alexander R. Judkins, Sukanya Raj Iyer, Peter de Blank, Pallavi Tiwari

2024Radiology Artificial Intelligence16 citationsDOIOpen Access PDF

Abstract

To evaluate nnU-Net–based segmentation models for automated delineation of medulloblastoma tumors on multi-institutional MRI scans.

Topics & Concepts

MedicineFluid-attenuated inversion recoveryMedulloblastomaRetrospective cohort studyRadiologySegmentationSkullNuclear medicineMagnetic resonance imagingSurgeryPathologyArtificial intelligenceComputer scienceGlioma Diagnosis and TreatmentRadiomics and Machine Learning in Medical ImagingBrain Tumor Detection and Classification
nnU-Net–based Segmentation of Tumor Subcompartments in Pediatric Medulloblastoma Using Multiparametric MRI: A Multi-institutional Study | Litcius