Journal of Pathology Informatics Journal of Pathology Informatics
Contact us | Home | Login   |  Users Online: 835  Print this pageEmail this pageSmall font sizeDefault font sizeIncrease font size 

    Article Cited by others


Using image registration and machine learning to develop a workstation tool for rapid analysis of glomeruli in medical renal biopsies

Wilbur David C, Pettus Jason R, Smith Maxwell L, Cornell Lynn D, Andryushkin Alexander, Wingard Richard, Wirch Eric

Year : 2020| Volume: 11| Issue : 1 | Page no: 37-37

   This article has been cited by
1 Quantification of Glomerular Structural Lesions: Associations With Clinical Outcomes and Transcriptomic Profiles in Nephrotic Syndrome
Jeffrey B. Hodgin, Laura H. Mariani, Jarcy Zee, Qian Liu, Abigail R. Smith, Sean Eddy, John Hartman, Habib Hamidi, Joseph P. Gaut, Matthew B. Palmer, Cynthia C. Nast, Anthony Chang, Stephen Hewitt, Brenda W. Gillespie, Matthias Kretzler, Lawrence B. Holzman, Laura Barisoni
American Journal of Kidney Diseases. 2021;
[Pubmed]  [Google Scholar] [DOI]
2 Automated identification of glomeruli and synchronised review of special stains in renal biopsies by machine learning and slide registration: a cross-institutional study
David C Wilbur, Maxwell L Smith, Lynn D Cornell, Alexander Andryushkin, Jason R Pettus
Histopathology. 2021; 79(4): 499
[Pubmed]  [Google Scholar] [DOI]
3 Advantages of using a web-based digital platform for kidney preimplantation biopsies
Flavia Neri, Albino Eccher, Paolo Rigotti, Ilaria Girolami, Gianluigi Zaza, Giovanni Gambaro, MariaGaia Mastrosimini, Giulia Bencini, CaterinaDi Bella, Claudia Mescoli, Luigino Boschiero, Stefano Marletta, PaoloAngelo Dei Tos, Lucrezia Furian
Journal of Pathology Informatics. 2021; 12(1): 41
[Pubmed]  [Google Scholar] [DOI]


Read this article