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Evaluating Generic Auto-ML Tools for Computational Pathology

Evaluating Generic Auto-ML Tools for Computational Pathology

7 December 2021
L. O. Schwen
D. Schacherer
C. Geißler
A. Homeyer
ArXivPDFHTML

Papers citing "Evaluating Generic Auto-ML Tools for Computational Pathology"

4 / 4 papers shown
Title
Joining Forces for Pathology Diagnostics with AI Assistance: The EMPAIA
  Initiative
Joining Forces for Pathology Diagnostics with AI Assistance: The EMPAIA Initiative
N. Zerbe
L. O. Schwen
Christian Geißler
Katja Wiesemann
Tom Bisson
...
M. Plass
Michael Takla
Tobias Küster
A. Homeyer
P. Hufnagl
24
5
0
22 Dec 2023
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Nick Erickson
Jonas W. Mueller
Alexander Shirkov
Hang Zhang
Pedro Larroy
Mu Li
Alex Smola
LMTD
89
607
0
13 Mar 2020
Classification of Histopathological Biopsy Images Using Ensemble of Deep
  Learning Networks
Classification of Histopathological Biopsy Images Using Ensemble of Deep Learning Networks
Sara Hosseinzadeh Kassani
P. H. Kassani
M. Wesolowski
Kevin A. Schneider
Ralph Deters
OOD
47
106
0
26 Sep 2019
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,561
0
17 Apr 2017
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