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Breast cancer outcome prediction with tumour tissue images and machine learning
2019
Breast Cancer Research and Treatment
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. 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 learning method for patient outcome prediction. The prediction
doi:10.1007/s10549-019-05281-1
pmid:31119567
pmcid:PMC6647903
fatcat:3guvw4nfjnggtnuas3o4nj2ady