Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Suzanne C. Wetstein"'
Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images
Autor:
Suzanne C. Wetstein, Vincent M. T. de Jong, Nikolas Stathonikos, Mark Opdam, Gwen M. H. E. Dackus, Josien P. W. Pluim, Paul J. van Diest, Mitko Veta
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Breast cancer tumor grade is strongly associated with patient survival. In current clinical practice, pathologists assign tumor grade after visual analysis of tissue specimens. However, different studies show significant inter-observer varia
Externí odkaz:
https://doaj.org/article/b59fee3b27c34ccfb9661b4cad529743
Autor:
Suzanne C Wetstein, Allison M Onken, Christina Luffman, Gabrielle M Baker, Michael E Pyle, Kevin H Kensler, Ying Liu, Bart Bakker, Ruud Vlutters, Marinus B van Leeuwen, Laura C Collins, Stuart J Schnitt, Josien P W Pluim, Rulla M Tamimi, Yujing J Heng, Mitko Veta
Publikováno v:
PLoS ONE, Vol 15, Iss 4, p e0231653 (2020)
Terminal duct lobular unit (TDLU) involution is the regression of milk-producing structures in the breast. Women with less TDLU involution are more likely to develop breast cancer. A major bottleneck in studying TDLU involution in large cohort studie
Externí odkaz:
https://doaj.org/article/9f205b7ac43a42f2bdc816d3256b1561
Autor:
Paul J. van Diest, Nikolas Stathonikos, Natalie D. ter Hoeve, Yujing J. Heng, Mitko Veta, Josien P. W. Pluim, Celien P.H. Vreuls, Suzanne C. Wetstein
Publikováno v:
Laboratory Investigation; a Journal of Technical Methods and Pathology
Laboratory Investigation, 101(4), 525-533. Nature Publishing Group
Laboratory Investigation, 101(4), 525-533. Nature Publishing Group
Ductal carcinoma in situ (DCIS) is a non-invasive breast cancer that can progress into invasive ductal carcinoma (IDC). Studies suggest DCIS is often overtreated since a considerable part of DCIS lesions may never progress into IDC. Lower grade lesio
Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images
Autor:
Suzanne C, Wetstein, Vincent M T, de Jong, Nikolas, Stathonikos, Mark, Opdam, Gwen M H E, Dackus, Josien P W, Pluim, Paul J, van Diest, Mitko, Veta
Publikováno v:
Scientific reports. 12(1)
Breast cancer tumor grade is strongly associated with patient survival. In current clinical practice, pathologists assign tumor grade after visual analysis of tissue specimens. However, different studies show significant inter-observer variation in b
Autor:
Cristina González-Gonzalo, Mitko Veta, Bart Liefers, Clara I. Sánchez, Marleen de Bruijne, Florian Dubost, Suzanne C. Wetstein, Ioannis Katramados, Gerda Bortsova, Laurens Hogeweg, Josien P. W. Pluim, Bram van Ginneken
Publikováno v:
Bortsova, G, González-Gonzalo, C, Wetstein, S C, Dubost, F, Katramados, I, Hogeweg, L, Liefers, B, van Ginneken, B, Pluim, J P W, Veta, M, Sánchez, C I & de Bruijne, M 2021, ' Adversarial attack vulnerability of medical image analysis systems : Unexplored factors ', Medical Image Analysis, vol. 73, 102141 . https://doi.org/10.1016/j.media.2021.102141
Medical Image Analysis, 73
Medical Image Analysis, 73:102141. Elsevier
Medical Image Analysis, 73
Medical Image Analysis, 73:102141. Elsevier
Adversarial attacks are considered a potentially serious security threat for machine learning systems. Medical image analysis (MedIA) systems have recently been argued to be vulnerable to adversarial attacks due to strong financial incentives and the
Autor:
Christina Luffman, Yujing J. Heng, Ying Liu, Michael E. Pyle, Gabrielle M. Baker, Josien P. W. Pluim, Laura C. Collins, Allison Onken, Stuart J. Schnitt, Mitko Veta, Kevin H. Kensler, Rulla M. Tamimi, Suzanne C. Wetstein
Publikováno v:
Archives of Pathology & Laboratory Medicine. 143:e2-e226
and case study poster sessions will be conducted during the 2019 College of American Pathologists Annual Meeting (CAP19), which is scheduled for September 21 to 25, 2019. The meeting will take place at the Gaylord Palms Resort & Convention Center, Ki
Autor:
Josien P. W. Pluim, Kevin H. Kensler, Ying Liu, Yujing J. Heng, Rulla M. Tamimi, Christina Luffman, Suzanne C. Wetstein, Laura C. Collins, Allison M. Onken, A. Heather Eliassen, Vanessa C. Bret-Mounet, Gabrielle M. Baker, Graham A. Colditz, Susan E. Hankinson, Stuart J. Schnitt, Emily Z.F. Liu, Mitko Veta
Publikováno v:
Cancer Epidemiol Biomarkers Prev
Cancer Epidemiology, Biomarkers & Prevention, 29(11), 2358-2368. American Association for Cancer Research Inc.
Cancer Epidemiology, Biomarkers & Prevention, 29(11), 2358-2368. American Association for Cancer Research Inc.
Background: Manual qualitative and quantitative measures of terminal duct lobular unit (TDLU) involution were previously reported to be inversely associated with breast cancer risk. We developed and applied a deep learning method to yield quantitativ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ba1ac1f34166e60344e826961206f25
https://europepmc.org/articles/PMC7642012/
https://europepmc.org/articles/PMC7642012/
Autor:
Rulla M. Tamimi, Christina Luffman, Suzanne C. Wetstein, Kevin H. Kensler, Marinus Bastiaan Van Leeuwen, Gabrielle M. Baker, Allison M. Onken, Laura C. Collins, Ruud Vlutters, Ying Liu, Stuart J. Schnitt, Josien P. W. Pluim, Michael E. Pyle, Bart Bakker, Mitko Veta, Yujing J. Heng
Publikováno v:
PLoS ONE, Vol 15, Iss 4, p e0231653 (2020)
PLoS ONE, 15(4):e0231653. Public Library of Science
PLoS ONE
PLoS ONE, 15(4):e0231653. Public Library of Science
PLoS ONE
Terminal duct lobular unit (TDLU) involution is the regression of milk-producing structures in the breast. Women with less TDLU involution are more likely to develop breast cancer. A major bottleneck in studying TDLU involution in large cohort studie
Autor:
Yu Jing Jan Heng, Mitko Veta, Laura C. Collins, Gabrielle M. Baker, Kevin H. Kensler, Ying Liu, Rulla M. Tamimi, Christina Luffman, Suzanne C. Wetstein, Allison M. Onken, Josien P. W. Pluim, Vanessa C. Bret-Mounet, Stuart J. Schnitt, Graham A. Colditz, Emily Z.F. Liu
Publikováno v:
Cancer Research. 80:4632-4632
Background Terminal duct lobular units (TDLUs) involute with age. Prior studies using qualitative or semi-quantitative measures of TDLU involution found inverse associations with breast cancer (BC) risk. We applied our validated deep learning computa