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
2023
Details
Title
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
Author(s)
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.
Published in
Journal Of Pathology
Volume
261
Pages
S13-S13
Conference
18th Annual Meeting of the European-Association-of-Neuro-Oncology (EANO), SEP 21-24, 2023, Rotterdam, NETHERLANDS
Date
2023-12-01
Publisher
Wiley, Hoboken
ISSN
0022-3417
1096-9896
1096-9896
Other identifier(s)
View record in Web of Science
Laboratories
UPBRI
Record Appears in
Scientific production and competences > SV - School of Life Sciences > ISREC - Swiss Institute for Experimental Cancer Research > UPBRI - Prof. Brisken Group
Peer-reviewed publications
Conference Papers
Work produced at EPFL
Published
Peer-reviewed publications
Conference Papers
Work produced at EPFL
Published
Record creation date
2024-04-03