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pro vyhledávání: '"Hipp, Jason"'
Deep learning methods are widely applied in digital pathology to address clinical challenges such as prognosis and diagnosis. As one of the most recent applications, deep models have also been used to extract molecular features from whole slide image
Externí odkaz:
http://arxiv.org/abs/2203.13997
Autor:
Cai, Carrie J., Reif, Emily, Hegde, Narayan, Hipp, Jason, Kim, Been, Smilkov, Daniel, Wattenberg, Martin, Viegas, Fernanda, Corrado, Greg S., Stumpe, Martin C., Terry, Michael
Machine learning (ML) is increasingly being used in image retrieval systems for medical decision making. One application of ML is to retrieve visually similar medical images from past patients (e.g. tissue from biopsies) to reference when making a me
Externí odkaz:
http://arxiv.org/abs/1902.02960
Autor:
Hegde, Narayan, Hipp, Jason D., Liu, Yun, Buck, Michael E., Reif, Emily, Smilkov, Daniel, Terry, Michael, Cai, Carrie J., Amin, Mahul B., Mermel, Craig H., Nelson, Phil Q., Peng, Lily H., Corrado, Greg S., Stumpe, Martin C.
Publikováno v:
Nature Partner Journal Digital Medicine (2019)
The increasing availability of large institutional and public histopathology image datasets is enabling the searching of these datasets for diagnosis, research, and education. Though these datasets typically have associated metadata such as diagnosis
Externí odkaz:
http://arxiv.org/abs/1901.11112
Autor:
Kohlberger, Timo, Liu, Yun, Moran, Melissa, Po-Hsuan, Chen, Brown, Trissia, Mermel, Craig H., Hipp, Jason D., Stumpe, Martin C.
Publikováno v:
Pathology Informatics (2019)
Digital pathology enables remote access or consults and powerful image analysis algorithms. However, the slide digitization process can create artifacts such as out-of-focus (OOF). OOF is often only detected upon careful review, potentially causing r
Externí odkaz:
http://arxiv.org/abs/1901.04619
Autor:
Chen, Po-Hsuan Cameron, Gadepalli, Krishna, MacDonald, Robert, Liu, Yun, Nagpal, Kunal, Kohlberger, Timo, Dean, Jeffrey, Corrado, Greg S., Hipp, Jason D., Stumpe, Martin C.
Publikováno v:
Nature Medicine (2019)
The brightfield microscope is instrumental in the visual examination of both biological and physical samples at sub-millimeter scales. One key clinical application has been in cancer histopathology, where the microscopic assessment of the tissue samp
Externí odkaz:
http://arxiv.org/abs/1812.00825
Autor:
Nagpal, Kunal, Foote, Davis, Liu, Yun, Po-Hsuan, Chen, Wulczyn, Ellery, Tan, Fraser, Olson, Niels, Smith, Jenny L., Mohtashamian, Arash, Wren, James H., Corrado, Greg S., MacDonald, Robert, Peng, Lily H., Amin, Mahul B., Evans, Andrew J., Sangoi, Ankur R., Mermel, Craig H., Hipp, Jason D., Stumpe, Martin C.
Publikováno v:
Nature Partner Journal Digital Medicine (2019)
For prostate cancer patients, the Gleason score is one of the most important prognostic factors, potentially determining treatment independent of the stage. However, Gleason scoring is based on subjective microscopic examination of tumor morphology a
Externí odkaz:
http://arxiv.org/abs/1811.06497
Autor:
Liu, Yun, Gadepalli, Krishna, Norouzi, Mohammad, Dahl, George E., Kohlberger, Timo, Boyko, Aleksey, Venugopalan, Subhashini, Timofeev, Aleksei, Nelson, Philip Q., Corrado, Greg S., Hipp, Jason D., Peng, Lily, Stumpe, Martin C.
Publikováno v:
MICCAI Tutorial (2017)
Each year, the treatment decisions for more than 230,000 breast cancer patients in the U.S. hinge on whether the cancer has metastasized away from the breast. Metastasis detection is currently performed by pathologists reviewing large expanses of bio
Externí odkaz:
http://arxiv.org/abs/1703.02442
Autor:
Vrana, Kent E., Hipp, Jason D., Goss, Ashley M., McCool, Brian A., Riddle, David R., Walker, Stephen J., Wettstein, Peter J., Studer, Lorenz P., Tabar, Viviane, Cunniff, Kerrianne, Chapman, Karen, Vilner, Lucy, West, Michael D., Grant, Kathleen A., Cibelli, Jose B.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2003 Sep . 100, 11911-11916.
Externí odkaz:
https://www.jstor.org/stable/3147320
Autor:
Minev, Boris, Hipp, Jason, Firat, Huseyin, Schmidt, Joseph D., Langlade-Demoyen, Pierre, Zanetti, Maurizio
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2000 Apr . 97(9), 4796-4801.
Externí odkaz:
https://www.jstor.org/stable/122471
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