Digital pathology and machine learning for prediction of response to neoadjuvant chemotherapy in oesophageal adenocarcinoma
Digital pathology and machine learning for prediction of response to neoadjuvant chemotherapy in oesophageal adenocarcinoma
S35
Sharpe, B.
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Rahman, S.
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Early, J.
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Vigneswaran, G.
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Horne, J.
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Grace, B.
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West, J.
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Walters, Z.
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Ramchurn, S.
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Underwood, T.
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1 September 2021
Sharpe, B.
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Rahman, S.
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Early, J.
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Vigneswaran, G.
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Horne, J.
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Grace, B.
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West, J.
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Walters, Z.
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Ramchurn, S.
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Underwood, T.
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Sharpe, B., Rahman, S., Early, J., Vigneswaran, G., Horne, J., Grace, B., West, J., Walters, Z., Ramchurn, S. and Underwood, T.
(2021)
Digital pathology and machine learning for prediction of response to neoadjuvant chemotherapy in oesophageal adenocarcinoma.
The Journal of Pathology, 255, .
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Published date: 1 September 2021
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Local EPrints ID: 477784
URI: http://eprints.soton.ac.uk/id/eprint/477784
ISSN: 1096-9896
PURE UUID: 21df1f7f-f96f-4b8c-9e9c-9f293bcb073a
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Date deposited: 14 Jun 2023 16:45
Last modified: 07 Jun 2024 01:57
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Author:
B. Sharpe
Author:
S. Rahman
Author:
J. Early
Author:
J. Horne
Author:
B. Grace
Author:
S. Ramchurn
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