Zobrazeno 1 - 10
of 168
pro vyhledávání: '"Mermel, Craig H"'
Autor:
Schaekermann, Mike, Spitz, Terry, Pyles, Malcolm, Cole-Lewis, Heather, Wulczyn, Ellery, Pfohl, Stephen R., Martin, Donald, Jr., Jaroensri, Ronnachai, Keeling, Geoff, Liu, Yuan, Farquhar, Stephanie, Xue, Qinghan, Lester, Jenna, Hughes, Cían, Strachan, Patricia, Tan, Fraser, Bui, Peggy, Mermel, Craig H., Peng, Lily H., Matias, Yossi, Corrado, Greg S., Webster, Dale R., Virmani, Sunny, Semturs, Christopher, Liu, Yun, Horn, Ivor, Cameron Chen, Po-Hsuan
Publikováno v:
In eClinicalMedicine April 2024 70
Autor:
Wulczyn, Ellery, Nagpal, Kunal, Symonds, Matthew, Moran, Melissa, Plass, Markus, Reihs, Robert, Nader, Farah, Tan, Fraser, Cai, Yuannan, Brown, Trissia, Flament-Auvigne, Isabelle, Amin, Mahul B., Stumpe, Martin C., Muller, Heimo, Regitnig, Peter, Holzinger, Andreas, Corrado, Greg S., Peng, Lily H., Chen, Po-Hsuan Cameron, Steiner, David F., Zatloukal, Kurt, Liu, Yun, Mermel, Craig H.
Publikováno v:
Nature Communications Medicine (2021)
Gleason grading of prostate cancer is an important prognostic factor but suffers from poor reproducibility, particularly among non-subspecialist pathologists. Although artificial intelligence (A.I.) tools have demonstrated Gleason grading on-par with
Externí odkaz:
http://arxiv.org/abs/2012.05197
Autor:
Wulczyn, Ellery, Steiner, David F., Moran, Melissa, Plass, Markus, Reihs, Robert, Tan, Fraser, Flament-Auvigne, Isabelle, Brown, Trissia, Regitnig, Peter, Chen, Po-Hsuan Cameron, Hegde, Narayan, Sadhwani, Apaar, MacDonald, Robert, Ayalew, Benny, Corrado, Greg S., Peng, Lily H., Tse, Daniel, Müller, Heimo, Xu, Zhaoyang, Liu, Yun, Stumpe, Martin C., Zatloukal, Kurt, Mermel, Craig H.
Publikováno v:
Nature Partner Journal Digital Medicine (2021)
Deriving interpretable prognostic features from deep-learning-based prognostic histopathology models remains a challenge. In this study, we developed a deep learning system (DLS) for predicting disease specific survival for stage II and III colorecta
Externí odkaz:
http://arxiv.org/abs/2011.08965
Autor:
Wulczyn, Ellery, Steiner, David F., Xu, Zhaoyang, Sadhwani, Apaar, Wang, Hongwu, Flament, Isabelle, Mermel, Craig H., Chen, Po-Hsuan Cameron, Liu, Yun, Stumpe, Martin C.
Publikováno v:
PLOS ONE (2020)
Prognostic information at diagnosis has important implications for cancer treatment and monitoring. Although cancer staging, histopathological assessment, molecular features, and clinical variables can provide useful prognostic insights, improving ri
Externí odkaz:
http://arxiv.org/abs/1912.07354
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:
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
Publikováno v:
In BBA - Reviews on Cancer January 2021 1875(1)
Autor:
Ibrahim, Asmaa, Gamble, Paul, Jaroensri, Ronnachai, Abdelsamea, Mohammed M., Mermel, Craig H., Chen, Po-Hsuan Cameron, Rakha, Emad A.
Publikováno v:
In The Breast February 2020 49:267-273
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