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pro vyhledávání: '"de Castro, Daniel Coelho"'
Autor:
Yildirim, Nur, Richardson, Hannah, Wetscherek, Maria T., Bajwa, Junaid, Jacob, Joseph, Pinnock, Mark A., Harris, Stephen, de Castro, Daniel Coelho, Bannur, Shruthi, Hyland, Stephanie L., Ghosh, Pratik, Ranjit, Mercy, Bouzid, Kenza, Schwaighofer, Anton, Pérez-García, Fernando, Sharma, Harshita, Oktay, Ozan, Lungren, Matthew, Alvarez-Valle, Javier, Nori, Aditya, Thieme, Anja
Recent advances in AI combine large language models (LLMs) with vision encoders that bring forward unprecedented technical capabilities to leverage for a wide range of healthcare applications. Focusing on the domain of radiology, vision-language mode
Externí odkaz:
http://arxiv.org/abs/2402.14252
Autor:
Rosnati, Margherita, Ribeiro, Fabio De Sousa, Monteiro, Miguel, de Castro, Daniel Coelho, Glocker, Ben
Image segmentation is important in medical imaging, providing valuable, quantitative information for clinical decision-making in diagnosis, therapy, and intervention. The state-of-the-art in automated segmentation remains supervised learning, employi
Externí odkaz:
http://arxiv.org/abs/2211.01886
Autor:
Monteiro, Miguel, Folgoc, Loïc Le, de Castro, Daniel Coelho, Pawlowski, Nick, Marques, Bernardo, Kamnitsas, Konstantinos, van der Wilk, Mark, Glocker, Ben
In image segmentation, there is often more than one plausible solution for a given input. In medical imaging, for example, experts will often disagree about the exact location of object boundaries. Estimating this inherent uncertainty and predicting
Externí odkaz:
http://arxiv.org/abs/2006.06015