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Grader variability and the importance of reference standards for
  evaluating machine learning models for diabetic retinopathy

Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy

4 October 2017
Jonathan Krause
Varun Gulshan
E. Rahimy
Peter Karth
Kasumi Widner
G. Corrado
L. Peng
D. Webster
ArXivPDFHTML

Papers citing "Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy"

5 / 5 papers shown
Title
A Foundation Language-Image Model of the Retina (FLAIR): Encoding Expert Knowledge in Text Supervision
A Foundation Language-Image Model of the Retina (FLAIR): Encoding Expert Knowledge in Text Supervision
Julio Silva-Rodríguez
H. Chakor
Riadh Kobbi
Jose Dolz
Ismail Ben Ayed
VLM
MedIm
114
37
0
15 Aug 2023
Detecting Cancer Metastases on Gigapixel Pathology Images
Detecting Cancer Metastases on Gigapixel Pathology Images
Yun-Hui Liu
Krishna Gadepalli
Mohammad Norouzi
George E. Dahl
Timo Kohlberger
...
Phil Q. Nelson
G. Corrado
J. Hipp
L. Peng
Martin C. Stumpe
MedIm
LM&MA
55
638
0
03 Mar 2017
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
268
14,196
0
23 Feb 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
411
27,231
0
02 Dec 2015
ImageNet Large Scale Visual Recognition Challenge
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
978
39,383
0
01 Sep 2014
1