Zobrazeno 1 - 10
of 1 250
pro vyhledávání: '"Elmore, Joann"'
Autor:
Liu, Sitong, Liu, Kechun, Margolis, Samuel, Wu, Wenjun, Knezevich, Stevan R., Elder, David E, Eguchi, Megan M., Elmore, Joann G, Shapiro, Linda
Immunohistochemical (IHC) stains play a vital role in a pathologist's analysis of medical images, providing crucial diagnostic information for various diseases. Virtual staining from hematoxylin and eosin (H&E)-stained whole slide images (WSIs) allow
Externí odkaz:
http://arxiv.org/abs/2410.01072
Accurate cancer diagnosis remains a critical challenge in digital pathology, largely due to the gigapixel size and complex spatial relationships present in whole slide images. Traditional multiple instance learning (MIL) methods often struggle with t
Externí odkaz:
http://arxiv.org/abs/2404.10894
Autor:
Elmore, Joann G, Wang, Pin-Chieh, Kerr, Kathleen F, Schriger, David L, Morrison, Douglas E, Brookmeyer, Ron, Pfeffer, Michael A, Payne, Thomas H, Currier, Judith S
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 9, p e21562 (2020)
BackgroundAccurately assessing the regional activity of diseases such as COVID-19 is important in guiding public health interventions. Leveraging electronic health records (EHRs) to monitor outpatient clinical encounters may lead to the identificatio
Externí odkaz:
https://doaj.org/article/b8f5f2117a9d48aba81b57d03f1cd208
Autor:
Walker, Jan, Leveille, Suzanne, Bell, Sigall, Chimowitz, Hannah, Dong, Zhiyong, Elmore, Joann G, Fernandez, Leonor, Fossa, Alan, Gerard, Macda, Fitzgerald, Patricia, Harcourt, Kendall, Jackson, Sara, Payne, Thomas H, Perez, Jocelyn, Shucard, Hannah, Stametz, Rebecca, DesRoches, Catherine, Delbanco, Tom
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 4, p e18639 (2020)
Externí odkaz:
https://doaj.org/article/206afcc6de08473a808936fb7ed05be2
Autor:
Jackson, Sara L, Mejilla, Roanne, Darer, Jonathan D, Oster, Natalia V, Ralston, James D, Leveille, Suzanne G, Walker, Jan, Delbanco, Tom, Elmore, Joann G
Publikováno v:
Journal of Medical Internet Research, Vol 16, Iss 11, p e247 (2014)
BackgroundInviting patients to read their primary care visit notes may improve communication and help them engage more actively in their health care. Little is known about how patients will use the opportunity to share their visit notes with family m
Externí odkaz:
https://doaj.org/article/5b2b808dd44444d5804078c74870ea0f
Autor:
Vodicka, Elisabeth, Mejilla, Roanne, Leveille, Suzanne G, Ralston, James D, Darer, Jonathan D, Delbanco, Tom, Walker, Jan, Elmore, Joann G
Publikováno v:
Journal of Medical Internet Research, Vol 15, Iss 9, p e208 (2013)
BackgroundOffering patients online access to medical records, including doctors’ visit notes, holds considerable potential to improve care. However, patients may worry about loss of privacy when accessing personal health information through Interne
Externí odkaz:
https://doaj.org/article/70c116b8a84a4a6cb0a5d2cdc720ff7d
Publikováno v:
In Academic Pediatrics August 2024 24(6):987-994
Autor:
Li, Beibin, Mercan, Ezgi, Mehta, Sachin, Knezevich, Stevan, Arnold, Corey W., Weaver, Donald L., Elmore, Joann G., Shapiro, Linda G.
In this study, we propose the Ductal Instance-Oriented Pipeline (DIOP) that contains a duct-level instance segmentation model, a tissue-level semantic segmentation model, and three-levels of features for diagnostic classification. Based on recent adv
Externí odkaz:
http://arxiv.org/abs/2012.06136
Autor:
Schopf, Cody M., Ramwala, Ojas A., Lowry, Kathryn P., Hofvind, Solveig, Marinovich, M. Luke, Houssami, Nehmat, Elmore, Joann G., Dontchos, Brian N., Lee, Janie M., Lee, Christoph I.
Publikováno v:
In Journal of the American College of Radiology February 2024 21(2):319-328
Autor:
Mehta, Sachin, Lu, Ximing, Weaver, Donald, Elmore, Joann G., Hajishirzi, Hannaneh, Shapiro, Linda
Training end-to-end networks for classifying gigapixel size histopathological images is computationally intractable. Most approaches are patch-based and first learn local representations (patch-wise) before combining these local representations to pr
Externí odkaz:
http://arxiv.org/abs/2007.13007