Radiomics for classification of bone mineral loss: A machine learning study

Rastegar, S; Vaziri, M; Qasempour, Y; Akhash, M R; Abdalvand, N; Shiri Lord, Isaac; Abdollahi, H; Zaidi, Habib

doi:10.1016/j.diii.2020.01.008

Scientific article

Open access

English

Radiomics for classification of bone mineral loss: A machine learning study

ContributorsRastegar, S; Vaziri, M; Qasempour, Y; Akhash, M R; Abdalvand, N; Shiri Lord, Isaac

; Abdollahi, H; Zaidi, Habib

Published inDiagnostic and Interventional Imaging, vol. 101, no. 9, p. 599-610

Publication date2020

Abstract

The purpose of this study was to develop predictive models to classify osteoporosis, osteopenia and normal patients using radiomics and machine learning approaches.

Keywords

Bone mineral densitometry (BMD)
Classification
Machine learning
Osteoporosis
Radiomics

NoteMerci de mettre à jour le pdf:https://www.hug.ch/sites/interhug/files/structures/pinlab/documents/diagintimag2020.pdf

Affiliation

Faculté de médecine / Section de médecine clinique / Département de radiologie et informatique médicale

Research group

Imagerie Médicale (TEP et TEMP) (542)

Citation (ISO format)

RASTEGAR, S et al. Radiomics for classification of bone mineral loss: A machine learning study. In: Diagnostic and Interventional Imaging, 2020, vol. 101, n° 9, p. 599–610. doi: 10.1016/j.diii.2020.01.008

Article (Published version)

Identifiers

PID : unige:132690
DOI : 10.1016/j.diii.2020.01.008
PMID : 32033913

ISSN of the journal2211-5684

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Radiomics for classification of bone mineral loss: A machine learning study

The purpose of this study was to develop predictive models to classify osteoporosis, osteopenia and normal patients using radiomics and machine learning approaches.

Technical informations