About: Deep Learning Global Glomerulosclerosis in Transplant Kidney Frozen Sections

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scientific article published on 27 June 2018

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rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована в червні 2018 (uk) im Juni 2018 veröffentlichter wissenschaftlicher Artikel (de) scientific article published on 27 June 2018 (en) artículu científicu espublizáu en xunu de 2018 (ast)
publication date	wds:Q89560870-59D6C27F-20C1-4A78-A5D2-7711693CF92E
publication date	2018-06-27 00:00:00Z (xsd:dateTime)
cites work	wds:Q89560870-04686552-4A77-48B4-BCF8-0AF93C313961 wds:Q89560870-05AE8488-15FB-49BB-AE95-FF40837259DF wds:Q89560870-23618BDE-69D0-4A1B-9571-FF4EA8E4E4AD wds:Q89560870-25792251-171E-4DB9-94B0-00931F7B9668 wds:Q89560870-39CE2902-01D0-4C16-88E6-E7EED5AED700 wds:Q89560870-3EC0C39E-BFF3-43F7-A0CF-B6C87091C5AA wds:Q89560870-3EDAF1EF-6918-42BB-8779-702BE53759EC wds:Q89560870-4318D2B9-6277-4F90-9A57-2D2DEB336D5D wds:Q89560870-4B41717D-E475-4177-8618-452D7304D0D6 wds:Q89560870-4C293CF5-7055-4E9E-A555-01F838E97615 wds:Q89560870-4DCF851D-050F-4284-9B78-FE9F133237C7 wds:Q89560870-5C34B381-4DD4-4E0D-A287-C64EA8113959 wds:Q89560870-64CBD799-F73F-4EA7-BA13-CDC31266A737 wds:Q89560870-6F09CA27-9788-4E10-B226-FC1222A970A7 wds:Q89560870-7FB092BD-4595-4D78-8292-8C47D9A2B99A wds:Q89560870-89CBB9C8-580E-4297-B916-8B302888AD46 wds:Q89560870-90A13225-29D3-42CF-BE28-7EB0043685ED wds:Q89560870-9E413507-7FE4-4332-9881-8F63D9209393 wds:Q89560870-A099B86E-B107-45A6-B9EC-03999BDFCF65 wds:Q89560870-A956EDEE-6BD3-4AFC-AEAD-A8478931A2CF wds:Q89560870-B37C02FE-7978-454A-A533-8C3D0CC3CBA4 wds:Q89560870-B7736D08-401E-4C14-A20A-0BFF80BAD386 wds:Q89560870-BD960E6A-5FB1-455B-A789-79F7439F8079 wds:Q89560870-C09B2256-30DB-4354-9CD9-8E44C382F58C wds:Q89560870-C319BA1B-9BF5-41F0-82C7-E343D3B19F82 wds:Q89560870-CBC0D0DC-ACE6-4818-AC7D-8563DF1062F5 wds:Q89560870-CE603872-1ACB-42CF-A6F3-540611EBE8FD wds:Q89560870-D289F8FA-59EE-438F-B3AC-042D08ADAED1 wds:Q89560870-D63D3A26-5F46-4DE8-A918-7511B6866F69 wds:Q89560870-E0013454-BC38-4E14-9935-F4DFD5895C41 wds:Q89560870-E3E3313A-DB5B-4A07-A0E2-347CF3D05A23 wds:Q89560870-E9BE15FD-D275-4CC2-9881-7917B3123F0E
cites work	Dermatologist-level classification of skin cancer with deep neural networks International variation in the interpretation of renal transplant biopsies: report of the CERTPAP Project scikit-image: image processing in Python Fiji: an open-source platform for biological-image analysis Proportion of glomerulosclerosis in procurement wedge renal biopsy cannot alone discriminate for acceptance of marginal donors Measurement of glomerulus diameter and Bowman's space width of renal albino rats Reasons for non-use of recovered kidneys: the effect of donor glomerulosclerosis and creatinine clearance on graft survival Long-Term Outcome of Renal Transplantation from Older Donors A simple clinico-histopathological composite scoring system is highly predictive of graft outcomes in marginal donors The Maryland aggregate pathology index: a deceased donor kidney biopsy scoring system for predicting graft failure. Histopathologic findings associated with APOL1 risk variants in chronic kidney disease Segmental HOG: new descriptor for glomerulus detection in kidney microscopy image Automated image analysis of a glomerular injury marker desmin in spontaneously diabetic Torii rats treated with losartan. Donor biopsy and kidney transplant outcomes: an analysis using the Organ Procurement and Transplantation Network/United Network for Organ Sharing (OPTN/UNOS) database Graft quality assessment in kidney transplantation: not an exact science yet! Computer-assisted imaging algorithms facilitate histomorphometric quantification of kidney damage in rodent renal failure models Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Biopsy of marginal donor kidneys: correlation of histologic findings with graft dysfunction The reproducibility and predictive value on outcome of renal biopsies from expanded criteria donors. Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis Automated Grading of Gliomas using Deep Learning in Digital Pathology Images: A modular approach with ensemble of convolutional neural networks Glomerulosclerosis as a determinant of posttransplant function of older donor renal allografts Precision histology: how deep learning is poised to revitalize histomorphology for personalized cancer care. Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent Banff Histopathological Consensus Criteria for Preimplantation Kidney Biopsies. Classification of breast cancer histology images using Convolutional Neural Networks Trends in Usage and Outcomes for Expanded Criteria Donor Kidney Transplantation in the United States Characterized by Kidney Donor Profile Index. Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology. Unsupervised labeling of glomerular boundaries using Gabor filters and statistical testing in renal histology Multi-radial LBP Features as a Tool for Rapid Glomerular Detection and Assessment in Whole Slide Histopathology Images. PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys
author name string	wds:Q89560870-3761306E-1AA8-4895-9D1D-6F330DEFDFFD wds:Q89560870-397D04A2-E6A8-4C8B-AA59-E3A357825A15 wds:Q89560870-70091FAC-A01E-4C45-841E-ED9D90A9F9D9 wds:Q89560870-D61D358B-82C8-4CEC-B8F3-D0877C2CF5BA wds:Q89560870-EA0410E8-D999-48A2-9D90-DAC91FF16408
author name string	Jon N Marsh Joseph P Gaut S Joshua Swamidass Satoru Kudose Matthew K Matlock
rdfs:label	Deep Learning Global Glomerulosclerosis in Transplant Kidney Frozen Sections (en) Deep Learning Global Glomerulosclerosis in Transplant Kidney Frozen Sections (nl)
skos:prefLabel	Deep Learning Global Glomerulosclerosis in Transplant Kidney Frozen Sections (en) Deep Learning Global Glomerulosclerosis in Transplant Kidney Frozen Sections (nl)
name	Deep Learning Global Glomerulosclerosis in Transplant Kidney Frozen Sections (en) Deep Learning Global Glomerulosclerosis in Transplant Kidney Frozen Sections (nl)
author	wds:Q89560870-3855AD4B-F747-48E6-A432-5CA2DDAC437B wds:Q89560870-EE50FAE1-D22E-45B9-874E-85D941EF9F01
author	Thaddeus S. Stappenbeck Ta-Chiang Liu
title	wds:Q89560870-3863D596-08AD-4055-BB3F-53DB372A066E
title	Deep Learning Global Glomerulosclerosis in Transplant Kidney Frozen Sections (en)
page(s)	wds:Q89560870-2495D87B-7985-49EF-91C3-5AB2675FFE3E
page(s)	2718-2728
instance of	wds:Q89560870-B24B473A-5580-4EAB-AAF5-28B4B28BF4F3
instance of	scholarly article
main subject	wds:Q89560870-5AC9F7A4-9B61-40B1-BAB2-064EAFFB5545 wds:Q89560870-6FD79822-215B-4B55-9ADC-09FD2408C8CC

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