Identifying radiotherapy target volumes in brain cancer by image analysis

Kun Cheng; Dean Montgomery; Yang Feng; Robin Steel; Hanqing Liao; Duncan McLaren; Sara C. Erridge; Stephen McLaughlin; William Henry Nailon

Identifying radiotherapy target volumes in brain cancer by image analysis

Kun Cheng, Dean Montgomery, Yang Feng, Robin Steel, Hanqing Liao, Duncan McLaren, Sara C. Erridge, Stephen McLaughlin, William Henry Nailon

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

Original language	English
Pages (from-to)	123-128
Number of pages	5
Journal	Healthcare Technology Letters
Volume	2
Issue number	5
Publication status	Published - 1 Oct 2015

1 Doctoral Thesis

Deformable models for adaptive radiotherapy planning
Cheng, K., 2016
Research output: Thesis › Doctoral Thesis

Cite this

@article{548cd7570c9a4242b6089c69607c6ff0,

title = "Identifying radiotherapy target volumes in brain cancer by image analysis",

author = "Kun Cheng and Dean Montgomery and Yang Feng and Robin Steel and Hanqing Liao and Duncan McLaren and Erridge, {Sara C.} and Stephen McLaughlin and Nailon, {William Henry}",

year = "2015",

month = oct,

day = "1",

language = "English",

volume = "2",

pages = "123--128",

journal = "Health Technology Letters",

issn = "2053-3713",

publisher = "IET",

number = "5",

}

TY - JOUR

T1 - Identifying radiotherapy target volumes in brain cancer by image analysis

AU - Cheng, Kun

AU - Montgomery, Dean

AU - Feng, Yang

AU - Steel, Robin

AU - Liao, Hanqing

AU - McLaren, Duncan

AU - Erridge, Sara C.

AU - McLaughlin, Stephen

AU - Nailon, William Henry

PY - 2015/10/1

Y1 - 2015/10/1

M3 - Article

VL - 2

SP - 123

EP - 128

JO - Health Technology Letters

JF - Health Technology Letters

SN - 2053-3713

IS - 5

ER -

Identifying radiotherapy target volumes in brain cancer by image analysis

Research output

Deformable models for adaptive radiotherapy planning

Cite this