TRACE is a RANO 2.0-aligned concept bottleneck model for 4-class glioblastoma response classification on longitudinal 3D MRI that reports 0.4769 macro F1 on the LUMIERE dataset via 5-fold patient-wise cross-validation.
Hagenbuchner, The black box problem of ai in oncology, Journal of Physics: Conference Series 1662 (2020) 012012
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TRACE: A Concept Bottleneck Model for Longitudinal 3D Glioblastoma Response Assessment
TRACE is a RANO 2.0-aligned concept bottleneck model for 4-class glioblastoma response classification on longitudinal 3D MRI that reports 0.4769 macro F1 on the LUMIERE dataset via 5-fold patient-wise cross-validation.