Literature DB >> 35582192

How Whole Slide Imaging and Machine Learning Can Partner with Renal Pathology.

Parker C Wilson1, Nidia Messias1.   

Abstract

Entities:  

Keywords:  basic science; digital image analysis; glomerular and tubulointerstitial diseases; machine learning; membranous nephropathy; minimal change disease; renal pathology; thin basement membrane disease; whole slide imaging

Mesh：

Year:  2022        PMID： 35582192      PMCID： PMC9034807          DOI： 10.34067/KID.0007982021

Source DB:  PubMed          Journal:  Kidney360        ISSN： 2641-7650


× No keyword cloud information.
  12 in total

Review 1.  Renal interstitial fibrosis: mechanisms and evaluation.

Authors:  Alton B Farris; Robert B Colvin
Journal:  Curr Opin Nephrol Hypertens       Date:  2012-05       Impact factor: 2.894

2.  Explainable Biomarkers for Automated Glomerular and Patient-Level Disease Classification.

Authors:  Matthew Nicholas Basso; Moumita Barua; Rohan John; April Khademi
Journal:  Kidney360       Date:  2021-12-09

Review 3.  Podocytopathies.

Authors:  Jeffrey B Kopp; Hans-Joachim Anders; Katalin Susztak; Manuel A Podestà; Giuseppe Remuzzi; Friedhelm Hildebrandt; Paola Romagnani
Journal:  Nat Rev Dis Primers       Date:  2020-08-13       Impact factor: 52.329

4.  Validating Whole Slide Imaging Systems for Diagnostic Purposes in Pathology.

Authors:  Andrew J Evans; Richard W Brown; Marilyn M Bui; Elizabeth A Chlipala; Christina Lacchetti; Danny A Milner; Liron Pantanowitz; Anil V Parwani; Kearin Reid; Michael W Riben; Victor E Reuter; Lisa Stephens; Rachel L Stewart; Nicole E Thomas
Journal:  Arch Pathol Lab Med       Date:  2022-04-01       Impact factor: 5.534

5.  PodoSighter: A Cloud-Based Tool for Label-Free Podocyte Detection in Kidney Whole-Slide Images.

Authors:  Darshana Govind; Jan U Becker; Jeffrey Miecznikowski; Avi Z Rosenberg; Julien Dang; Pierre Louis Tharaux; Rabi Yacoub; Friedrich Thaiss; Peter F Hoyer; David Manthey; Brendon Lutnick; Amber M Worral; Imtiaz Mohammad; Vighnesh Walavalkar; John E Tomaszewski; Kuang-Yu Jen; Pinaki Sarder
Journal:  J Am Soc Nephrol       Date:  2021-09-03       Impact factor: 10.121

6.  Computational Segmentation and Classification of Diabetic Glomerulosclerosis.

Authors:  Brandon Ginley; Brendon Lutnick; Kuang-Yu Jen; Agnes B Fogo; Sanjay Jain; Avi Rosenberg; Vighnesh Walavalkar; Gregory Wilding; John E Tomaszewski; Rabi Yacoub; Giovanni Maria Rossi; Pinaki Sarder
Journal:  J Am Soc Nephrol       Date:  2019-09-05       Impact factor: 14.978

7.  Development and Validation of a Deep Learning Model to Quantify Glomerulosclerosis in Kidney Biopsy Specimens.

Authors:  Jon N Marsh; Ta-Chiang Liu; Parker C Wilson; S Joshua Swamidass; Joseph P Gaut
Journal:  JAMA Netw Open       Date:  2021-01-04

8.  Deep Learning-Based Segmentation and Quantification in Experimental Kidney Histopathology.

Authors:  Nassim Bouteldja; Barbara M Klinkhammer; Roman D Bülow; Patrick Droste; Simon W Otten; Saskia Freifrau von Stillfried; Julia Moellmann; Susan M Sheehan; Ron Korstanje; Sylvia Menzel; Peter Bankhead; Matthias Mietsch; Charis Drummer; Michael Lehrke; Rafael Kramann; Jürgen Floege; Peter Boor; Dorit Merhof
Journal:  J Am Soc Nephrol       Date:  2020-11-05       Impact factor: 10.121

9.  Dissecting the Business Case for Adoption and Implementation of Digital Pathology: A White Paper from the Digital Pathology Association.

Authors:  Giovanni Lujan; Jennifer C Quigley; Douglas Hartman; Anil Parwani; Brian Roehmholdt; Bryan Van Meter; Orly Ardon; Matthew G Hanna; Dan Kelly; Chelsea Sowards; Michael Montalto; Marilyn Bui; Mark D Zarella; Victoria LaRosa; Gerard Slootweg; Juan Antonio Retamero; Mark C Lloyd; James Madory; Doug Bowman
Journal:  J Pathol Inform       Date:  2021-04-07

Review 10.  Digital pathology and computational image analysis in nephropathology.

Authors:  Laura Barisoni; Kyle J Lafata; Stephen M Hewitt; Anant Madabhushi; Ulysses G J Balis
Journal:  Nat Rev Nephrol       Date:  2020-08-26       Impact factor: 28.314
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.