Automated identification of glomeruli and synchronised review of special stains in renal biopsies by machine learning and slide registration: a cross‐institutional study-Reference-Cited by-同舟云学术

Automated identification of glomeruli and synchronised review of special stains in renal biopsies by machine learning and slide registration: a cross‐institutional study

Published:2021-08-03 Issue:4 Volume:79 Page:499-508
ISSN:0309-0167
Container-title:Histopathology
language:en
Short-container-title:Histopathology

Author:

Wilbur David C¹^ORCID,Smith Maxwell L²,Cornell Lynn D³,Andryushkin Alexander¹,Pettus Jason R⁴

Affiliation:

1. Corista LLC Concord MAUSA

2. Department of Laboratory Medicine and Pathology Mayo Clinic – Scottsdale Phoenix AZUSA

3. Department of Laboratory Medicine and Pathology Mayo Clinic – Rochester Rochester MNUSA

4. Department of Pathology and Laboratory Medicine Dartmouth‐Hitchcock Medical Center Lebanon MH USA

Publisher

Wiley

Subject

General Medicine,Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/his.14376

Reference16 articles.

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

2. Deep learning shows the capability of high-level computer-aided diagnosis in malignant lymphoma

3. Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies

4. Computational Pathology to Discriminate Benign from Malignant Intraductal Proliferations of the Breast

5. Enhancing the Performance of the AutoPap 300 QC System with Optimal Staining and Presentation of Cervical Smears

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