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...
Main Authors: | Turkki, R, Byckhov, D, Lundin, M, Isola, J, Nordling, S, Kovanen, PE, Verrill, C, von Smitten, K, Joensuu, H, Lundin, J, Linder, N |
---|---|
格式: | Journal article |
语言: | English |
出版: |
Springer Nature
2019
|
相似书籍
-
Deep learning based tissue analysis predicts outcome in colorectal cancer
由: Bychkov, D, et al.
出版: (2018) -
Outcome and biomarker supervised deep learning for survival prediction in two multicenter breast cancer series
由: Dmitrii Bychkov, et al.
出版: (2022-01-01) -
Outcome and biomarker supervised deep learning for survival prediction in two multicenter breast cancer series
由: Dmitrii Bychkov, et al.
出版: (2022-01-01) -
Deep learning identifies morphological features in breast cancer predictive of cancer ERBB2 status and trastuzumab treatment efficacy
由: Dmitrii Bychkov, et al.
出版: (2021-02-01) -
Antibody-supervised deep learning for quantification of tumor-infiltrating immune cells in hematoxylin and eosin stained breast cancer samples
由: Riku Turkki, et al.
出版: (2016-01-01)