Development and external multicentric validation of a deep learning-based clinical target volume segmentation model for whole-breast radiotherapy
. A 3D-Unet for CTV segmentation trained on a large single institute cohort consisting of planning CTs and manual segmentations was built and externally validated, reaching high performance.
Authors
- Antonella Del Vecchio (ORCID: https://orcid.org/0000-0002-7889-7896)
- N. Di Muzio (ORCID: https://orcid.org/0000-0001-5961-411X)
- G. Palazzo (ORCID: https://orcid.org/0009-0004-3394-9025)
- Lorenzo Placidi (ORCID: https://orcid.org/0000-0003-0058-9145)
- E. Cagni (ORCID: https://orcid.org/0000-0002-7080-5758)
- Roberta Castriconi (ORCID: https://orcid.org/0000-0003-2452-1305)
- Maria Giulia Ubeira-Gabellini (ORCID: https://orcid.org/0000-0002-5980-4287)
- Robert Jeraj (ORCID: https://orcid.org/0000-0002-2192-2931)
- Giulia Rambaldi Guidasci
- Valeria Landoni (ORCID: https://orcid.org/0000-0003-1160-3985)
- Alessia Tudda (ORCID: https://orcid.org/0000-0002-9534-0141)
- Aldo Mazzilli (ORCID: https://orcid.org/0000-0002-4592-9193)
- Andrei Fodor (ORCID: https://orcid.org/0000-0002-9285-4390)
- Luciano Rivetti (ORCID: https://orcid.org/0009-0001-0738-7485)
- C. Fiorino (ORCID: https://orcid.org/0000-0002-0013-8494)
- Martina Mori
- Eugenia Moretti
- Cecilia Riani
- Caterina Oliviero (ORCID: https://orcid.org/0009-0009-5024-8067)
Institutions
- University of Parma (IT)
- University of Udine (IT)
- University of Wisconsin–Madison (US)
- University of Ljubljana (SI)
- Vita-Salute San Raffaele University (IT)
- Agostino Gemelli University Polyclinic (IT)
- Azienda Sanitaria Unità Locale di Reggio Emilia (IT)
- Fatebenefratelli Hospital (IT)
- Federico II University Hospital (IT)
- Tumori Foundation (US)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele (IT)
Publication Details
- Journal
- Physics and Imaging in Radiation Oncology
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1016/j.phro.2025.100749
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Università degli Studi di Milano
- Associazione Italiana per la Ricerca sul Cancro