Literature DB >> 31488608

Machine Learning Comes to Nephrology.

Kevin V Lemley1,2.   

Abstract

Keywords:  convolutional neural network; machine learning; supervised learning; whole slide imaging

Mesh：

Year:  2019        PMID： 31488608      PMCID： PMC6779351          DOI： 10.1681/ASN.2019070664

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN： 1046-6673            Impact factor:   10.121


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  9 in total

1.  The Quality of Reporting of Kidney Research: A Challenge to JASN.

Authors:  Josephine P Briggs
Journal:  J Am Soc Nephrol       Date:  2018-12-13       Impact factor: 10.121

2.  AI: What Have You Done for Us Lately?

Authors:  Richard Torres; Eben Olson
Journal:  J Am Soc Nephrol       Date:  2018-06-19       Impact factor: 10.121

3.  Deep Learning-Based Histopathologic Assessment of Kidney Tissue.

Authors:  Meyke Hermsen; Thomas de Bel; Marjolijn den Boer; Eric J Steenbergen; Jesper Kers; Sandrine Florquin; Joris J T H Roelofs; Mark D Stegall; Mariam P Alexander; Byron H Smith; Bart Smeets; Luuk B Hilbrands; Jeroen A W M van der Laak
Journal:  J Am Soc Nephrol       Date:  2019-09-05       Impact factor: 10.121

4.  Region-Based Convolutional Neural Nets for Localization of Glomeruli in Trichrome-Stained Whole Kidney Sections.

Authors:  John D Bukowy; Alex Dayton; Dustin Cloutier; Anna D Manis; Alexander Staruschenko; Julian H Lombard; Leah C Solberg Woods; Daniel A Beard; Allen W Cowley
Journal:  J Am Soc Nephrol       Date:  2018-06-19       Impact factor: 10.121

5.  Dermatologist-level classification of skin cancer with deep neural networks.

Authors:  Andre Esteva; Brett Kuprel; Roberto A Novoa; Justin Ko; Susan M Swetter; Helen M Blau; Sebastian Thrun
Journal:  Nature       Date:  2017-01-25       Impact factor: 49.962

Review 6.  Image analysis and machine learning in digital pathology: Challenges and opportunities.

Authors:  Anant Madabhushi; George Lee
Journal:  Med Image Anal       Date:  2016-07-04       Impact factor: 8.545

7.  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

8.  Clinically applicable deep learning for diagnosis and referral in retinal disease.

Authors:  Jeffrey De Fauw; Joseph R Ledsam; Bernardino Romera-Paredes; Stanislav Nikolov; Nenad Tomasev; Sam Blackwell; Harry Askham; Xavier Glorot; Brendan O'Donoghue; Daniel Visentin; George van den Driessche; Balaji Lakshminarayanan; Clemens Meyer; Faith Mackinder; Simon Bouton; Kareem Ayoub; Reena Chopra; Dominic King; Alan Karthikesalingam; Cían O Hughes; Rosalind Raine; Julian Hughes; Dawn A Sim; Catherine Egan; Adnan Tufail; Hugh Montgomery; Demis Hassabis; Geraint Rees; Trevor Back; Peng T Khaw; Mustafa Suleyman; Julien Cornebise; Pearse A Keane; Olaf Ronneberger
Journal:  Nat Med       Date:  2018-08-13       Impact factor: 53.440

9.  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
  9 in total
  2 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

2.  Automated Smart Home Assessment to Support Pain Management: Multiple Methods Analysis.

Authors:  Roschelle L Fritz; Marian Wilson; Gordana Dermody; Maureen Schmitter-Edgecombe; Diane J Cook
Journal:  J Med Internet Res       Date:  2020-11-06       Impact factor: 5.428
  2 in total

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