Zobrazeno 1 - 10
of 1 231
pro vyhledávání: '"Ciompi, A."'
Autor:
Contreras, Nohemi Sofia Leon, D'Amato, Marina, Ciompi, Francesco, Grisi, Clement, Aswolinskiy, Witali, Vatrano, Simona, Fraggetta, Filippo, Nagtegaal, Iris
Training neural networks with high-quality pixel-level annotation in histopathology whole-slide images (WSI) is an expensive process due to gigapixel resolution of WSIs. However, recent advances in self-supervised learning have shown that highly desc
Externí odkaz:
http://arxiv.org/abs/2405.15127
Autor:
Silina, Karina, Ciompi, Francesco
Quantification of lymphoid aggregates including tertiary lymphoid structures with germinal centers in histology images of cancer is a promising approach for developing prognostic and predictive tissue biomarkers. In this article, we provide recommend
Externí odkaz:
http://arxiv.org/abs/2403.04142
Deep learning algorithms, often critiqued for their 'black box' nature, traditionally fall short in providing the necessary transparency for trusted clinical use. This challenge is particularly evident when such models are deployed in local hospitals
Externí odkaz:
http://arxiv.org/abs/2404.07208
We present HoVer-UNet, an approach to distill the knowledge of the multi-branch HoVerNet framework for nuclei instance segmentation and classification in histopathology. We propose a compact, streamlined single UNet network with a Mix Vision Transfor
Externí odkaz:
http://arxiv.org/abs/2311.12553
Autor:
Jiao, Yiping, van der Laak, Jeroen, Albarqouni, Shadi, Li, Zhang, Tan, Tao, Bhalerao, Abhir, Ma, Jiabo, Sun, Jiamei, Pocock, Johnathan, Pluim, Josien P. W., Koohbanani, Navid Alemi, Bashir, Raja Muhammad Saad, Raza, Shan E Ahmed, Liu, Sibo, Graham, Simon, Wetstein, Suzanne, Khurram, Syed Ali, Watson, Thomas, Rajpoot, Nasir, Veta, Mitko, Ciompi, Francesco
We introduce LYSTO, the Lymphocyte Assessment Hackathon, which was held in conjunction with the MICCAI 2019 Conference in Shenzen (China). The competition required participants to automatically assess the number of lymphocytes, in particular T-cells,
Externí odkaz:
http://arxiv.org/abs/2301.06304
Annotations are necessary to develop computer vision algorithms for histopathology, but dense annotations at a high resolution are often time-consuming to make. Deep learning models for segmentation are a way to alleviate the process, but require lar
Externí odkaz:
http://arxiv.org/abs/2211.07425
Autor:
Leander van Eekelen, Joey Spronck, Monika Looijen-Salamon, Shoko Vos, Enrico Munari, Ilaria Girolami, Albino Eccher, Balazs Acs, Ceren Boyaci, Gabriel Silva de Souza, Muradije Demirel-Andishmand, Luca Dulce Meesters, Daan Zegers, Lieke van der Woude, Willemijn Theelen, Michel van den Heuvel, Katrien Grünberg, Bram van Ginneken, Jeroen van der Laak, Francesco Ciompi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Programmed death-ligand 1 (PD-L1) expression is currently used in the clinic to assess eligibility for immune-checkpoint inhibitors via the tumor proportion score (TPS), but its efficacy is limited by high interobserver variability. Multiple
Externí odkaz:
https://doaj.org/article/001f7eaf59b84b3c94b65d25972e094d
Autor:
Roberto A. Leon-Ferre, Jodi M. Carter, David Zahrieh, Jason P. Sinnwell, Roberto Salgado, Vera J. Suman, David W. Hillman, Judy C. Boughey, Krishna R. Kalari, Fergus J. Couch, James N. Ingle, Maschenka Balkenhol, Francesco Ciompi, Jeroen van der Laak, Matthew P. Goetz
Publikováno v:
npj Breast Cancer, Vol 10, Iss 1, Pp 1-10 (2024)
Abstract Operable triple-negative breast cancer (TNBC) has a higher risk of recurrence and death compared to other subtypes. Tumor size and nodal status are the primary clinical factors used to guide systemic treatment, while biomarkers of proliferat
Externí odkaz:
https://doaj.org/article/76fed00f45b74d1e9623e4f305759050
Autor:
Aubreville, Marc, Stathonikos, Nikolas, Bertram, Christof A., Klopleisch, Robert, ter Hoeve, Natalie, Ciompi, Francesco, Wilm, Frauke, Marzahl, Christian, Donovan, Taryn A., Maier, Andreas, Breen, Jack, Ravikumar, Nishant, Chung, Youjin, Park, Jinah, Nateghi, Ramin, Pourakpour, Fattaneh, Fick, Rutger H. J., Hadj, Saima Ben, Jahanifar, Mostafa, Rajpoot, Nasir, Dexl, Jakob, Wittenberg, Thomas, Kondo, Satoshi, Lafarge, Maxime W., Koelzer, Viktor H., Liang, Jingtang, Wang, Yubo, Long, Xi, Liu, Jingxin, Razavi, Salar, Khademi, April, Yang, Sen, Wang, Xiyue, Veta, Mitko, Breininger, Katharina
Publikováno v:
Medical Image Analysis 84 (2023) 102699
The density of mitotic figures within tumor tissue is known to be highly correlated with tumor proliferation and thus is an important marker in tumor grading. Recognition of mitotic figures by pathologists is known to be subject to a strong inter-rat
Externí odkaz:
http://arxiv.org/abs/2204.03742
Autor:
Marini, Niccolò, Marchesin, Stefano, Wodzinski, Marek, Caputo, Alessandro, Podareanu, Damian, Guevara, Bryan Cardenas, Boytcheva, Svetla, Vatrano, Simona, Fraggetta, Filippo, Ciompi, Francesco, Silvello, Gianmaria, Müller, Henning, Atzori, Manfredo
Publikováno v:
In Medical Image Analysis October 2024 97