Preliminary deep learning model to predict residual tumor in advanced epithelial ovarian cancer.

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Publication Details

Journal
Journal of Clinical Oncology
Published
2025-05-28
DOI
https://doi.org/10.1200/jco.2025.43.16_suppl.e13701
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Preliminary deep learning model to predict residual tumor in advanced epithelial ovarian cancer.

Gabriella Schivardi, Luigi Antonio De Vitis, Giovanni Aletti, Maria Francesca Spadea et al.
Journal of Clinical Oncology
Radiomics and Machine Learning in Medical Imaging
article

Preliminary deep learning model to predict residual tumor in advanced epithelial ovarian cancer.

Gabriella Schivardi, Luigi Antonio De Vitis, Giovanni Aletti, Maria Francesca Spadea, Francesco Multinu, Alice Traversa, Lucia Ribero, Elena De Momi, Carlo Cosentino, Paolo Zaffino, Francesca Fati, Marina Rosanu, Roberto Veraldi
article en

Abstract

No abstract available for this paper.
Journal of Clinical OncologyVol. 43(16_suppl)
Karlsruhe Institute of Technology (DE), Magna Graecia University (IT), Mayo Clinic in Arizona (US), Istituti di Ricovero e Cura a Carattere Scientifico (IT), European Institute of Oncology (IT), Politecnico di Milano (IT)
Openalex Percentile: Top 82%
Radiomics and Machine Learning in Medical Imaging
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Preliminary deep learning model to predict residual tumor in advanced epithelial ovarian cancer. — Gabriella Schivardi, Luigi Antonio De Vitis, et al. · Journal of Clinical Oncology (2025) | TGRS Research Map | TGRS