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Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images
21 February 2022
Iulian Emil Tampu
Anders Eklund
Neda Haj-Hosseini
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Papers citing
"Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images"
8 / 8 papers shown
Title
The Impact of Train-Test Leakage on Machine Learning-based Android Malware Detection
Guojun Liu
Doina Caragea
Xinming Ou
Sankardas Roy
FedML
23
0
0
25 Oct 2024
SpanSeq: Similarity-based sequence data splitting method for improved development and assessment of deep learning projects
A. F. Florensa
J. J. A. Armenteros
Henrik Nielsen
F. Aarestrup
P. Clausen
35
3
0
22 Feb 2024
Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets
Kumar Abhishek
Aditi Jain
Ghassan Hamarneh
51
3
0
25 Jan 2024
Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It
Adam Lilja
Junsheng Fu
Erik Stenborg
Lars Hammarstrand
33
18
0
11 Dec 2023
Coarse race data conceals disparities in clinical risk score performance
Rajiv Movva
Divya Shanmugam
Kaihua Hou
P. Pathak
John Guttag
Nikhil Garg
Emma Pierson
16
17
0
18 Apr 2023
Efficacy of MRI data harmonization in the age of machine learning. A multicenter study across 36 datasets
C. Marzi
M. Giannelli
A. Barucci
C. Tessa
M. Mascalchi
S. Diciotti
14
22
0
08 Nov 2022
AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning
F. Imrie
B. Cebere
E. McKinney
M. Schaar
68
20
0
21 Oct 2022
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
340
10,633
0
19 Feb 2017
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