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pro vyhledávání: '"Shaikovski, George"'
Autor:
Zimmermann, Eric, Vorontsov, Eugene, Viret, Julian, Casson, Adam, Zelechowski, Michal, Shaikovski, George, Tenenholtz, Neil, Hall, James, Klimstra, David, Yousfi, Razik, Fuchs, Thomas, Fusi, Nicolo, Liu, Siqi, Severson, Kristen
Foundation models are rapidly being developed for computational pathology applications. However, it remains an open question which factors are most important for downstream performance with data scale and diversity, model size, and training algorithm
Externí odkaz:
http://arxiv.org/abs/2408.00738
Autor:
Shaikovski, George, Casson, Adam, Severson, Kristen, Zimmermann, Eric, Wang, Yi Kan, Kunz, Jeremy D., Retamero, Juan A., Oakley, Gerard, Klimstra, David, Kanan, Christopher, Hanna, Matthew, Zelechowski, Michal, Viret, Julian, Tenenholtz, Neil, Hall, James, Fusi, Nicolo, Yousfi, Razik, Hamilton, Peter, Moye, William A., Vorontsov, Eugene, Liu, Siqi, Fuchs, Thomas J.
Foundation models in computational pathology promise to unlock the development of new clinical decision support systems and models for precision medicine. However, there is a mismatch between most clinical analysis, which is defined at the level of o
Externí odkaz:
http://arxiv.org/abs/2405.10254
Autor:
Zimmermann, Eric, Tenenholtz, Neil, Hall, James, Shaikovski, George, Zelechowski, Michal, Casson, Adam, Milletari, Fausto, Viret, Julian, Vorontsov, Eugene, Liu, Siqi, Severson, Kristen
Self-supervised learning (SSL) has emerged as a key technique for training networks that can generalize well to diverse tasks without task-specific supervision. This property makes SSL desirable for computational pathology, the study of digitized ima
Externí odkaz:
http://arxiv.org/abs/2405.01688
Autor:
Vorontsov, Eugene, Bozkurt, Alican, Casson, Adam, Shaikovski, George, Zelechowski, Michal, Liu, Siqi, Severson, Kristen, Zimmermann, Eric, Hall, James, Tenenholtz, Neil, Fusi, Nicolo, Mathieu, Philippe, van Eck, Alexander, Lee, Donghun, Viret, Julian, Robert, Eric, Wang, Yi Kan, Kunz, Jeremy D., Lee, Matthew C. H., Bernhard, Jan, Godrich, Ran A., Oakley, Gerard, Millar, Ewan, Hanna, Matthew, Retamero, Juan, Moye, William A., Yousfi, Razik, Kanan, Christopher, Klimstra, David, Rothrock, Brandon, Fuchs, Thomas J.
The use of artificial intelligence to enable precision medicine and decision support systems through the analysis of pathology images has the potential to revolutionize the diagnosis and treatment of cancer. Such applications will depend on models' a
Externí odkaz:
http://arxiv.org/abs/2309.07778
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Akademický článek
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