Showing 841 - 860 results of 863 for search '"Journal of Pathology Informatics"', query time: 0.12s Refine Results
  1. 841
    WE SCAN, WE LEARN, WE IMPROVE: DIGITAL PATHOLOGY DAILY OPERATIONS IN A LARGE NYC TERTIARY CANCER CENTER

    WE SCAN, WE LEARN, WE IMPROVE: DIGITAL PATHOLOGY DAILY OPERATIONS IN A LARGE NYC TERTIARY CANCER CENTER by Orly Ardon

    Published 2022-01-01
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  2. 842
    Abstracts: Pathology Informatics 2012

    Abstracts: Pathology Informatics 2012

    Published 2012-01-01
    “…Journal of Pathology Informatics…”
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    Article
  3. 843
    SEMI-AUTOMATIC SEGMENTATION WORKFLOW FOR MULTIPLEXED ION BEAM IMAGING

    SEMI-AUTOMATIC SEGMENTATION WORKFLOW FOR MULTIPLEXED ION BEAM IMAGING by Murat Aksoy, Monirath Hav, Bo Bo, Tiffany S. Ng, Jay Tarolli, Dana Case, Jessica Finn, Jason Ptacek

    Published 2022-01-01
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  4. 844
    ADVANCING NON-CLINICAL PATHOLOGY USING DECISION SUPPORT DEEP LEARNING

    ADVANCING NON-CLINICAL PATHOLOGY USING DECISION SUPPORT DEEP LEARNING by Daniel Rudmann

    Published 2022-01-01
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  5. 845
    A real-time dashboard for managing pathology processes

    A real-time dashboard for managing pathology processes by Fawaz Halwani, Wei Chen Li, Diponkar Banerjee, Lysanne Lessard, Daniel Amyot, Wojtek Michalowski, Randy Giffen

    Published 2016-01-01
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  6. 846
    Reporting Gleason grade/score in synoptic reports of radical prostatectomies

    Reporting Gleason grade/score in synoptic reports of radical prostatectomies by Andrew A Renshaw, Mercy Mena-Allauca, Edwin W Gould

    Published 2016-01-01
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  7. 847
    Experience with CellaVision DM96 for peripheral blood differentials in a large multi-center academic hospital system

    Experience with CellaVision DM96 for peripheral blood differentials in a large multi-center academic hospital system by Marian A Rollins-Raval, Jay S Raval, Lydia Contis

    Published 2012-01-01
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  8. 848
    Differentiation of urothelial carcinoma in histopathology images using deep learning and visualization

    Differentiation of urothelial carcinoma in histopathology images using deep learning and visualization by Aniruddha Mundhada, Sandhya Sundaram, Ramakrishnan Swaminathan, Lawrence D' Cruze, Satyavratan Govindarajan, Navaneethakrishna Makaram

    Published 2023-01-01
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  9. 849
    Computerized image analysis of tumor cell nuclear morphology can improve patient selection for clinical trials in localized clear cell renal cell carcinoma

    Computerized image analysis of tumor cell nuclear morphology can improve patient selection for clinical trials in localized clear cell renal cell carcinoma by In Hwa Um, Lindesay Scott-Hayward, Monique Mackenzie, Puay Hoon Tan, Ravindran Kanesvaran, Yukti Choudhury, Peter D Caie, Min-Han Tan, Marie O'Donnell, Steve Leung, Grant D Stewart, David J Harrison

    Published 2020-01-01
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  10. 850
    Development and implementation of an electronic interface for complex clinical laboratory instruments without a vendor-provided data transfer interface

    Development and implementation of an electronic interface for complex clinical laboratory instruments without a vendor-provided data transfer interface by Gary E Blank, Mohamed A Virji

    Published 2011-01-01
    “…Journal of Pathology Informatics…”
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  11. 851
    The California Telepathology Service: UCLA's experience in deploying a regional digital pathology subspecialty consultation network

    The California Telepathology Service: UCLA's experience in deploying a regional digital pathology subspecialty consultation network by Thomas Chong, M Fernando Palma-Diaz, Craig Fisher, Dorina Gui, Nora L Ostrzega, Geoffrey Sempa, Anthony E Sisk, Mark Valasek, Beverly Y Wang, Jonathan Zuckerman, Chris Khacherian, Scott Binder, W Dean Wallace

    Published 2019-01-01
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  12. 852
    A 3D PRINTED EMBEDDED AI-BASED MICROSCOPE FOR PATHOLOGY DIAGNOSIS

    A 3D PRINTED EMBEDDED AI-BASED MICROSCOPE FOR PATHOLOGY DIAGNOSIS by Bowen Chen, Drew F.K. Williamson, Faisal Mahmood

    Published 2022-01-01
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  13. 853
    A DIGITAL METHOD TO INTERPRET THE C-MYC STAIN IN DIFFUSE LARGE B CELL LYMPHOMA

    A DIGITAL METHOD TO INTERPRET THE C-MYC STAIN IN DIFFUSE LARGE B CELL LYMPHOMA by Jayalakshmi P. Balakrishna, Anil P. Parwani, Jesse C. Kulewsky

    Published 2022-01-01
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  14. 854
    Deep learning for classification of colorectal polyps on whole-slide images

    Deep learning for classification of colorectal polyps on whole-slide images by Bruno Korbar, Andrea M Olofson, Allen P Miraflor, Catherine M Nicka, Matthew A Suriawinata, Lorenzo Torresani, Arief A Suriawinata, Saeed Hassanpour

    Published 2017-01-01
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  15. 855
    Smartphone applications: A contemporary resource for dermatopathology

    Smartphone applications: A contemporary resource for dermatopathology by Matthew G Hanna, Anil V Parwani, Liron Pantanowitz, Vinod Punjabi, Rajendra Singh

    Published 2015-01-01
    “…Journal of Pathology Informatics…”
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  16. 856
    DEPLOYMENT OF A DEEP LEARNING MODEL TO ASSIST PATHOLOGISTS WITH DONOR KIDNEY BIOPSY EVALUATION

    DEPLOYMENT OF A DEEP LEARNING MODEL TO ASSIST PATHOLOGISTS WITH DONOR KIDNEY BIOPSY EVALUATION by Joseph Gaut, Jon Marsh, S. Joshua Swamidass, Rick Berry, Victoria Swamidass, Mike Blackford

    Published 2022-01-01
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  17. 857
    Diagnostic performance of deep learning algorithms applied to three common diagnoses in dermatopathology

    Diagnostic performance of deep learning algorithms applied to three common diagnoses in dermatopathology by Thomas George Olsen, B Hunter Jackson, Theresa Ann Feeser, Michael N Kent, John C Moad, Smita Krishnamurthy, Denise D Lunsford, Rajath E Soans

    Published 2018-01-01
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  18. 858
    Hardware and software implementation of POCT1-A for integration of point of care testing in research

    Hardware and software implementation of POCT1-A for integration of point of care testing in research by Nathan T.P. Patel, Magan R. Lane, Timothy K. Williams, Lucas P. Neff

    Published 2022-01-01
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  19. 859
    Implementation of large-scale routine diagnostics using whole slide imaging in Sweden: Digital pathology experiences 2006-2013

    Implementation of large-scale routine diagnostics using whole slide imaging in Sweden: Digital pathology experiences 2006-2013 by Sten Thorstenson, Jesper Molin, Claes Lundström

    Published 2014-01-01
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  20. 860
    How to interpret the results of medical time series data analysis: Classical statistical approaches versus dynamic Bayesian network modeling

    How to interpret the results of medical time series data analysis: Classical statistical approaches versus dynamic Bayesian network modeling by Agnieszka Onisko, Marek J Druzdzel, R Marshall Austin

    Published 2016-01-01
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