Exploring technical issues in personalized medicine: NSCLC survival prediction by quantitative image analysis-usefulness of density correction of volumetric CT data

Alessandra Farchione; Anna Rita Larici; Carlotta Masciocchi; Giuseppe Cicchetti; Maria Teresa Congedo; Paola Franchi; Roberto Gatta; Stefano Lo Cicero; Vincenzo Valentini; Lorenzo Bonomo; Riccardo Manfredi

doi:10.1007/s11547-020-01157-3

Exploring technical issues in personalized medicine: NSCLC survival prediction by quantitative image analysis-usefulness of density correction of volumetric CT data

Alessandra Farchione
, Anna Rita Larici
, Carlotta Masciocchi
, Giuseppe Cicchetti
, Maria Teresa Congedo
, Paola Franchi
, Roberto Gatta
, Stefano Lo Cicero
, Vincenzo Valentini
, Lorenzo Bonomo
, Riccardo Manfredi

ASL Teramo

Risultato della ricerca: Contributo in rivista › Articolo

2 Citazioni (Scopus)

Abstract

N/A

Lingua originale	Inglese
pagine (da-a)	N/A-N/A
Rivista	LA RADIOLOGIA MEDICA
DOI	https://doi.org/10.1007/s11547-020-01157-3
Stato di pubblicazione	Pubblicato - 2020

Keywords

Biotechnology innovation
Correction methods
NSCLC
Personalized medicine
Radiomics
Textural analysis

Accesso al documento

10.1007/s11547-020-01157-3

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Farchione, A., Larici, A. R., Masciocchi, C., Cicchetti, G., Congedo, M. T., Franchi, P., Gatta, R., Lo Cicero, S., Valentini, V., Bonomo, L., & Manfredi, R. (2020). Exploring technical issues in personalized medicine: NSCLC survival prediction by quantitative image analysis-usefulness of density correction of volumetric CT data. LA RADIOLOGIA MEDICA, N/A-N/A. https://doi.org/10.1007/s11547-020-01157-3

@article{eb6fe26694aa4d6d99a9c3116ae84557,

title = "Exploring technical issues in personalized medicine: NSCLC survival prediction by quantitative image analysis-usefulness of density correction of volumetric CT data",

abstract = "N/A",

keywords = "Biotechnology innovation, Correction methods, NSCLC, Personalized medicine, Radiomics, Textural analysis, Biotechnology innovation, Correction methods, NSCLC, Personalized medicine, Radiomics, Textural analysis",

author = "Alessandra Farchione and Larici, \{Anna Rita\} and Carlotta Masciocchi and Giuseppe Cicchetti and Congedo, \{Maria Teresa\} and Paola Franchi and Roberto Gatta and \{Lo Cicero\}, Stefano and Vincenzo Valentini and Lorenzo Bonomo and Riccardo Manfredi",

year = "2020",

doi = "10.1007/s11547-020-01157-3",

language = "English",

pages = "N/A--N/A",

journal = "LA RADIOLOGIA MEDICA",

issn = "0033-8362",

publisher = "- Milano : Springer Verlag Italia -Turin Italy: Edizioni Minerva Medica",

}

Farchione, A, Larici, AR, Masciocchi, C, Cicchetti, G, Congedo, MT, Franchi, P, Gatta, R, Lo Cicero, S, Valentini, V, Bonomo, L & Manfredi, R 2020, 'Exploring technical issues in personalized medicine: NSCLC survival prediction by quantitative image analysis-usefulness of density correction of volumetric CT data', LA RADIOLOGIA MEDICA, pagg. N/A-N/A. https://doi.org/10.1007/s11547-020-01157-3

TY - JOUR

T1 - Exploring technical issues in personalized medicine: NSCLC survival prediction by quantitative image analysis-usefulness of density correction of volumetric CT data

AU - Farchione, Alessandra

AU - Larici, Anna Rita

AU - Masciocchi, Carlotta

AU - Cicchetti, Giuseppe

AU - Congedo, Maria Teresa

AU - Franchi, Paola

AU - Gatta, Roberto

AU - Lo Cicero, Stefano

AU - Valentini, Vincenzo

AU - Bonomo, Lorenzo

AU - Manfredi, Riccardo

PY - 2020

Y1 - 2020

N2 - N/A

AB - N/A

KW - Biotechnology innovation

KW - Correction methods

KW - NSCLC

KW - Personalized medicine

KW - Radiomics

KW - Textural analysis

KW - Biotechnology innovation

KW - Correction methods

KW - NSCLC

KW - Personalized medicine

KW - Radiomics

KW - Textural analysis

UR - http://hdl.handle.net/10807/147731

U2 - 10.1007/s11547-020-01157-3

DO - 10.1007/s11547-020-01157-3

M3 - Article

SN - 0033-8362

SP - N/A-N/A

JO - LA RADIOLOGIA MEDICA

JF - LA RADIOLOGIA MEDICA

ER -

Exploring technical issues in personalized medicine: NSCLC survival prediction by quantitative image analysis-usefulness of density correction of volumetric CT data

Abstract

Keywords

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