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A human-interpretable machine learning pipeline based on ul..:
Lombardi, Angela
;
Arezzo, Francesca
;
Di Sciascio, Eugenio
...
Artificial Intelligence in Medicine. 146 (2023) - p. 102697 , 2023
Link:
https://doi.org/10.1016/j.artmed.2023.102697
RT Journal T1
A human-interpretable machine learning pipeline based on ultrasound to support leiomyosarcoma diagnosis
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.artmed.2023.102697&Exemplar=1&LAN=DE A1 Lombardi, Angela A1 Arezzo, Francesca A1 Di Sciascio, Eugenio A1 Ardito, Carmelo A1 Mongelli, Michele A1 Di Lillo, Nicola A1 Fascilla, Fabiana Divina A1 Silvestris, Erica A1 Kardhashi, Anila A1 Putino, Carmela A1 Cazzolla, Ambrogio A1 Loizzi, Vera A1 Cazzato, Gerardo A1 Cormio, Gennaro A1 Di Noia, Tommaso PB Elsevier BV YR 2023 SN 0933-3657 JF Artificial Intelligence in Medicine VO 146 SP 102697 LK http://dx.doi.org/https://doi.org/10.1016/j.artmed.2023.102697 DO https://doi.org/10.1016/j.artmed.2023.102697 SF ELIB - SuUB Bremen
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