CINECA IRIS Institutional Research Information System

Radiomics to predict response to neoadjuvant chemotherapy in rectal cancer: Influence of simultaneous feature selection and classifier optimization

Giannini, V.;Mazzetti, S.;Regge, D.
2018-01-01
2018
2018 IEEE Life Sciences Conference, LSC 2018
montreal
2018
2018 IEEE Life Sciences Conference, LSC 2018
Institute of Electrical and Electronics Engineers Inc.
65
68
9781538667095
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8553979
Feature selection; Genetic algorithms; Rectal cancer; Response to chemoradiotherapy; SVM optimization; Signal Processing; Medicine (miscellaneous); Health Informatics; Instrumentation
Rosati, S.; Gianfreda, C.M.; Balestra, G.; Giannini, V.; Mazzetti, S.; Regge, D.
04A-Conference paper in volume
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1691840
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 12
  • ???jsp.display-item.citation.isi??? 12
social impact