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arXiv Computer Vision By Sarah de Boer, Myrthe A. D. Buser, Hartmut H\"antze, Jawed Nawabi, Lisa C. Adams, Alida F. W. van der Steeg, Marry M. van den Heuvel-Eibrink, Annemieke S. Littooij, Keno K. Bressem, Mathias Prokop, Alessa Hering

From Adult Renal Masses to Pediatric Wilms Tumors: Evaluating Cross-Domain Generalization of Kidney Lesion Segmentation on MRI

Read the original on arXiv Computer Vision →

The study investigates whether a deep learning segmentation model trained on adult kidney MRI can generalize to pediatric Wilms tumors. Trained on single‑sequence T1 or T2 adult MRI, the model achieved a median Dice similarity coefficient (DSC) of 0.86 on an adult test set and 0.85 on a pediatric cohort, compared to 0.90 for a pediatric‑specific nnU‑Net. Although the adult‑trained model performed well, the modest performance gap indicates that pediatric training data remain valuable.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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