Multi-Reference Evaluation of Deep Learning Tumour Segmentation in Multi-Sequence Nasopharyngeal Carcinoma MRI
Background/Objectives: Deep learning segmentation of nasopharyngeal carcinoma is usually reported as one Dice similarity coefficient (DSC) against one reference mask, although multi-sequence MRI is often delineated separately on each sequence. We aimed to quantify how far the choice of reference changes reported perfor...