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  A machine learning approach applied to gynecological ultrasound to predict progression-free survival in ovarian cancer patients
 
 
Title: A machine learning approach applied to gynecological ultrasound to predict progression-free survival in ovarian cancer patients
Author: Arezzo, Francesca
Cormio, Gennaro
La Forgia, Daniele
Santarsiero, Carla Mariaflavia
Mongelli, Michele
Lombardi, Claudio
Cazzato, Gerardo
Cicinelli, Ettore
Loizzi, Vera
Appeared in: Archives of gynecology and obstetrics
Paging: Volume 306 () nr. 6 pages 2143-2154
Year: 2022-05-09
Contents:
Publisher: Springer Berlin Heidelberg, Berlin/Heidelberg
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

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