Literature DB >> 35368576

Kidney Fibrosis Assessment by CT Using Machine Learning.

Kevin V Lemley1.   

Abstract

Entities:  

Keywords:  chronic kidney disease; fibrosis; kidney diseases; machine learning; x-ray computed tomography

Mesh：

Year:  2022        PMID： 35368576      PMCID： PMC8967599          DOI： 10.34067/KID.0007262021

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


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  3 in total

1.  The consequences of tubulo-interstitial changes for renal function in glomerulopathies. A morphometric and cytological analysis.

Authors:  A Bohle; S Mackensen-Haen; H von Gise; K E Grund; M Wehrmann; C Batz; O Bogenschütz; H Schmitt; J Nagy; C Müller
Journal:  Pathol Res Pract       Date:  1990-02       Impact factor: 3.250

2.  CT evaluation of the renal donor and recipient.

Authors:  Federica Vernuccio; Raj Gondalia; Susan Churchill; Mustafa R Bashir; Daniele Marin
Journal:  Abdom Radiol (NY)       Date:  2018-10

3.  Association of Pathological Fibrosis With Renal Survival Using Deep Neural Networks.

Authors:  Vijaya B Kolachalama; Priyamvada Singh; Christopher Q Lin; Dan Mun; Mostafa E Belghasem; Joel M Henderson; Jean M Francis; David J Salant; Vipul C Chitalia
Journal:  Kidney Int Rep       Date:  2018-01-11
  3 in total
  1 in total

1.  Automated Computer-Assisted Image Analysis for the Fast Quantification of Kidney Fibrosis.

Authors:  Esteban Andrés Sánchez-Jaramillo; Luz Elena Gasca-Lozano; José María Vera-Cruz; Luis Daniel Hernández-Ortega; Adriana María Salazar-Montes
Journal:  Biology (Basel)       Date:  2022-08-17
  1 in total

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