Transfer learning for data‐efficient abdominal muscle segmentation with convolutional neural networks

Donal Mcsweeney; Edward Henderson; Marcel Van Herk; Jamie Weaver; Paul Bromiley; Andrew Green; Alan Mcwilliam

doi:10.1002/mp.15533

Transfer learning for data‐efficient abdominal muscle segmentation with convolutional neural networks

Donal Mcsweeney, Edward Henderson, Marcel Van Herk, Jamie Weaver, Paul Bromiley, Andrew Green, Alan Mcwilliam

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

Original language	English
Pages (from-to)	3107-3120
Journal	Medical Physics
Volume	49
Issue number	5
DOIs	https://doi.org/10.1002/mp.15533
Publication status	Published - 16 Feb 2022

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Cancer
Manchester Cancer Research Centre

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1002/mp.15533

Cite this

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title = "Transfer learning for data‐efficient abdominal muscle segmentation with convolutional neural networks",

author = "Donal Mcsweeney and Edward Henderson and {Van Herk}, Marcel and Jamie Weaver and Paul Bromiley and Andrew Green and Alan Mcwilliam",

year = "2022",

month = feb,

day = "16",

doi = "10.1002/mp.15533",

language = "English",

volume = "49",

pages = "3107--3120",

journal = "Medical Physics",

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publisher = "John Wiley & Sons Ltd",

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TY - JOUR

T1 - Transfer learning for data‐efficient abdominal muscle segmentation with convolutional neural networks

AU - Mcsweeney, Donal

AU - Henderson, Edward

AU - Van Herk, Marcel

AU - Weaver, Jamie

AU - Bromiley, Paul

AU - Green, Andrew

AU - Mcwilliam, Alan

PY - 2022/2/16

Y1 - 2022/2/16

UR - http://dx.doi.org/10.1002/mp.15533

U2 - 10.1002/mp.15533

DO - 10.1002/mp.15533

M3 - Article

SN - 0094-2405

VL - 49

SP - 3107

EP - 3120

JO - Medical Physics

JF - Medical Physics

IS - 5

ER -

Transfer learning for data‐efficient abdominal muscle segmentation with convolutional neural networks

Research Beacons, Institutes and Platforms

UN SDGs

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