Replication study: Development and validation of deep learning algorithm
for detection of diabetic retinopathy in retinal fundus photographs

v1v2v3 (latest)

Replication study: Development and validation of deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs

12 March 2018

Kajsa Møllersen

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Papers citing "Replication study: Development and validation of deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs"

5 / 5 papers shown

Title
Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy Jonathan Krause Varun Gulshan E. Rahimy Peter Karth Kasumi Widner G. Corrado L. Peng D. Webster 159 440 0 04 Oct 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 692 10,799 0 19 Feb 2017
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,416 0 02 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 465 43,341 0 11 Feb 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,595 0 01 Sep 2014

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