Demonstrates effective automated coding in cancer registries, suggesting improved efficiency.
the LN-PDTA-based neural network approach shows promising results for the most frequent topographies and morphologies, thus enabling automatic coding of a fair number of cases, reducing manual coding time and supporting more efficient cancer registry operations.
No takes yet. Share an insight, caveat, or question.
Zanfino et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: