A method to combine target volume data from 3D and 4D planned thoracic radiotherapy patient cohorts for machine learning applications

Corinne Johnson; Gareth Price; Jonathan Khalifa; Corinne Faivre-Finn; Andre Dekker; Christopher Moore; Marcel van Herk

doi:10.1016/j.radonc.2017.11.015

A method to combine target volume data from 3D and 4D planned thoracic radiotherapy patient cohorts for machine learning applications

Corinne Johnson^*, Gareth Price, Jonathan Khalifa, Corinne Faivre-Finn, Andre Dekker, Christopher Moore, Marcel van Herk

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	355-361
Number of pages	7
Journal	Radiotherapy and Oncology
Volume	126
Issue number	2
DOIs	https://doi.org/10.1016/j.radonc.2017.11.015
Publication status	Published - 1 Feb 2018

Keywords

Radiotherapy
Machine-learning
GTV
Lung cancer
GROSS TUMOR VOLUME
LUNG-CANCER PATIENTS
RADIATION PNEUMONITIS
EXTERNAL VALIDATION
DELINEATION
VARIABILITY
DEFINITION
SURVIVAL
MODEL

Access to Document

10.1016/j.radonc.2017.11.015

Cite this

@article{51fa2a399e3f4296b65d18b21809cf64,

title = "A method to combine target volume data from 3D and 4D planned thoracic radiotherapy patient cohorts for machine learning applications",

keywords = "Radiotherapy, Machine-learning, GTV, Lung cancer, GROSS TUMOR VOLUME, LUNG-CANCER PATIENTS, RADIATION PNEUMONITIS, EXTERNAL VALIDATION, DELINEATION, VARIABILITY, DEFINITION, SURVIVAL, MODEL",

author = "Corinne Johnson and Gareth Price and Jonathan Khalifa and Corinne Faivre-Finn and Andre Dekker and Christopher Moore and {van Herk}, Marcel",

year = "2018",

month = feb,

day = "1",

doi = "10.1016/j.radonc.2017.11.015",

language = "English",

volume = "126",

pages = "355--361",

journal = "Radiotherapy and Oncology",

issn = "0167-8140",

publisher = "Elsevier Ireland Ltd",

number = "2",

}

A method to combine target volume data from 3D and 4D planned thoracic radiotherapy patient cohorts for machine learning applications. / Johnson, Corinne; Price, Gareth; Khalifa, Jonathan; Faivre-Finn, Corinne; Dekker, Andre; Moore, Christopher; van Herk, Marcel.

In: Radiotherapy and Oncology, Vol. 126, No. 2, 01.02.2018, p. 355-361.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - A method to combine target volume data from 3D and 4D planned thoracic radiotherapy patient cohorts for machine learning applications

AU - Johnson, Corinne

AU - Price, Gareth

AU - Khalifa, Jonathan

AU - Faivre-Finn, Corinne

AU - Dekker, Andre

AU - Moore, Christopher

AU - van Herk, Marcel

PY - 2018/2/1

Y1 - 2018/2/1

KW - Radiotherapy

KW - Machine-learning

KW - GTV

KW - Lung cancer

KW - GROSS TUMOR VOLUME

KW - LUNG-CANCER PATIENTS

KW - RADIATION PNEUMONITIS

KW - EXTERNAL VALIDATION

KW - DELINEATION

KW - VARIABILITY

KW - DEFINITION

KW - SURVIVAL

KW - MODEL

U2 - 10.1016/j.radonc.2017.11.015

DO - 10.1016/j.radonc.2017.11.015

M3 - Article

C2 - 29223683

VL - 126

SP - 355

EP - 361

JO - Radiotherapy and Oncology

JF - Radiotherapy and Oncology

SN - 0167-8140

IS - 2

ER -