Zobrazeno 1 - 10
of 5 070
pro vyhledávání: '"HALL, JAMES"'
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:
Hall, James
Interactions between organics and various types of minerals have been well documented and studied both experimentally and in nature. Clays, which are aluminum silicate minerals, have been shown to be exceptional at the adsorption and/or incorporation
Externí odkaz:
https://hdl.handle.net/1721.1/152696
Large Language Models (LLMs) have demonstrated remarkable proficiency in understanding and generating natural language. However, their capabilities wane in highly specialized domains underrepresented in the pretraining corpus, such as physical and bi
Externí odkaz:
http://arxiv.org/abs/2402.05140
In certain types of cancerous tissue, mitotic count has been shown to be associated with tumor proliferation, poor prognosis, and therapeutic resistance. Due to the high inter-rater variability of mitotic counting by pathologists, convolutional neura
Externí odkaz:
http://arxiv.org/abs/2310.07176