Validation of open-source deep learning segmentation tools for automated glioma volumetry: a narrative review of Dice scores, workflow efficiency, and clinical RANO 2.0 implementation
Background Segmentation enables extraction of quantitative imaging features to enhance glioma diagnosis by volumetric measurements and treatment response assessment. This narrative review evaluates open-source software for glioma segmentation and alignment with Response Assessment in Neuro-Oncology (RANO 2.0) volumetri...