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2408.08792
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Assessing Generalization Capabilities of Malaria Diagnostic Models from Thin Blood Smears
16 August 2024
Louise Guillon
Soheib Biga
Axel Puyo
Grégoire Pasquier
Valentin Foucher
Yendoubé E. Kantchire
Stéphane E. Sossou
A. Dorkenoo
Laurent Bonnardot
M. Thellier
Laurence Lachaud
Renaud Piarroux
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Papers citing
"Assessing Generalization Capabilities of Malaria Diagnostic Models from Thin Blood Smears"
4 / 4 papers shown
Title
Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information
Charles B. Delahunt
Mayoore S. Jaiswal
M. Horning
Samantha Janko
Clay M. Thompson
...
Elizabeth Villasis
K. Tun
Christine M Bachman
David Bell
C. Mehanian
22
18
0
05 Aug 2019
Confounding variables can degrade generalization performance of radiological deep learning models
J. Zech
Marcus A. Badgeley
Manway Liu
A. Costa
J. Titano
Eric K. Oermann
OOD
85
1,180
0
02 Jul 2018
Applying Faster R-CNN for Object Detection on Malaria Images
Jane Hung
Deepali Ravel
S. Lopes
Gabriel W. Rangel
A. Goodman
...
Laurent Rénia
M. Duraisingh
Fabio T. M. Costa
Matthias Marti
Anne E Carpenter
ObjD
59
179
0
25 Apr 2018
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
718
37,020
0
08 Jun 2015
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