Breast cancer outcome prediction with tumour tissue images and machine learning
<strong>Purpose</strong> 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. <br><br> &l...
Главные авторы: | Turkki, R, Byckhov, D, Lundin, M, Isola, J, Nordling, S, Kovanen, PE, Verrill, C, von Smitten, K, Joensuu, H, Lundin, J, Linder, N |
---|---|
Формат: | Journal article |
Язык: | English |
Опубликовано: |
Springer Nature
2019
|
Схожие документы
-
Deep learning based tissue analysis predicts outcome in colorectal cancer
по: Bychkov, D, и др.
Опубликовано: (2018) -
Outcome and biomarker supervised deep learning for survival prediction in two multicenter breast cancer series
по: Dmitrii Bychkov, и др.
Опубликовано: (2022-01-01) -
Outcome and biomarker supervised deep learning for survival prediction in two multicenter breast cancer series
по: Dmitrii Bychkov, и др.
Опубликовано: (2022-01-01) -
Deep learning identifies morphological features in breast cancer predictive of cancer ERBB2 status and trastuzumab treatment efficacy
по: Dmitrii Bychkov, и др.
Опубликовано: (2021-02-01) -
Antibody-supervised deep learning for quantification of tumor-infiltrating immune cells in hematoxylin and eosin stained breast cancer samples
по: Riku Turkki, и др.
Опубликовано: (2016-01-01)