ADNEX-AI: automated extraction of ultrasound predictors for interpretable ovarian cancer risk stratification

Abstract Accurate triage of ovarian masses is facilitated in many centers by the guideline-endorsed, extensively validated IOTA-ADNEX risk model, yet the model still relies on manual measurements of key tumor features. We developed ADNEX-AI, a multi-task deep-learning system that automatically segme...

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Bibliografski detalji

Glavni autori:	Axel Geysels, Giulia Garofalo, Stefan Timmerman, Jolien Ceusters, Francesca Buonomo, Daniela Fischerová, Antonia Carla Testa, Francesca Moro, Povilas Sladkevicius, Ligita Jokubkiene, Caroline Van Holsbeke, Marek Kudla, Artur Czekierdowski, Elisabeth Epstein, Yvette Groszmann, Matthew Blaschko, Tom Bourne, Bart De Moor, Lil Valentin, Ben Van Calster, Dirk Timmerman, Wouter Froyman
Format:	Artigo
Jezik:	Inglês
Izdano:	Nature Portfolio 2025-12-01
Serija:	npj Precision Oncology
Online pristup:	https://doi.org/10.1038/s41698-025-01215-x
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