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Breast cancer outcome prediction with tumour tissue images and machine learning

Abstract:
Purpose Recent advances in machine learning have enabled better understanding of large and complex visual data. Here, we aim to investigate patient outcome prediction with a machine learning method using only an image of tumour sample as an input.

Methods Utilising tissue microarray (TMA) samples obtained from the primary tumour of patients (N = 1299) within a nationwide breast cancer series with long-term-follow-up, we train and validate a machine l... Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s10549-019-05281-1

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Role:
Author
ORCID:
0000-0002-8690-6983
Publisher:
Springer Nature
Journal:
Breast Cancer Research and Treatment More from this journal
Volume:
177
Issue:
1
Pages:
41-52
Publication date:
2019-05-22
Acceptance date:
2019-05-16
DOI:
EISSN:
1573-7217
ISSN:
0167-6806
Language:
English
Pubs id:
1097511
Local pid:
pubs:1097511
Deposit date:
2020-03-30

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