Using deep learning-based approaches to characterise ageing in different tissue components of normal breast tissue of women with different risk of developing breast cancer
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Chen, S. Y., Centeno, M. P., Verghese, G., Booker, G., Wall, I., Arsian, S., Oozeer, A., D’angelo, M., Barrow, R., Nelan, R., Leite, M. S., Lips, E., Martino, F. D., Brisken, C., Gillett, C., Jones, L., Pinder, S., & Grigoriadis, A. (2023). Using deep learning-based approaches to characterise ageing in different tissue components of normal breast tissue of women with different risk of developing breast cancer. Journal of Pathology, 261, S13–S13. https://infoscience.epfl.ch/handle/20.500.14299/206923
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WOS:001183797700035
2023-12-01
Hoboken
261
S13
S13
REVIEWED
EPFL
| Event name | Event place | Event date |
Rotterdam, NETHERLANDS | SEP 21-24, 2023 | |