HIGHLIGHTS
- who: Diana Veiga-Canuto and colleagues from the Unidad Oncohematología Pediátrica, Academic Radiology, Department of Translational Research, University of Pisa, Via Roma, have published the article: Comparative Multicentric Evaluation of Inter-Observer Variability in Manual and Automatic Segmentation of Neuroblastic Tumors in Magnetic Resonance Images, in the Journal: (JOURNAL)
- what: The aims of this study were to assess the inter-observer variability in manual segmentation of neuroblastic tumors and to analyze whether the state-of-the-art deep learning architecture nnU-Net can provide a robust solution to detect and segment tumors on . . .
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