Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners.
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Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners.
description
2017 nî lūn-bûn
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@ja
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@yue
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@zh-hant
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@zh-hk
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@zh-mo
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@zh-tw
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@wuu
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name
Prediction of cervical cancer ...... uired with different scanners.
@en
type
label
Prediction of cervical cancer ...... uired with different scanners.
@en
prefLabel
Prediction of cervical cancer ...... uired with different scanners.
@en
P2093
P2860
P50
P356
P1433
P1476
Prediction of cervical cancer ...... quired with different scanners
@en
P2093
Alexandre Escande
Christine Haie-Meder
Fanny Orlhac
François Riet
Sylvain Reuzé
Sébastien Gouy
P2860
P304
43169-43179
P356
10.18632/ONCOTARGET.17856
P407
P577
2017-06-01T00:00:00Z