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Fully-automated patient-level malaria assessment on field-prepared thin
  blood film microscopy images, including Supplementary Information

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information

5 August 2019
Charles B. Delahunt
Mayoore S. Jaiswal
M. Horning
Samantha Janko
Clay M. Thompson
Sourabh Kulhare
Liming Hu
Travis Ostbye
Grace Yun
Roman Gebrehiwot
Benjamin K. Wilson
Earl Long
S. Proux
D. Gamboa
P. Chiodini
J. Carter
M. Dhorda
David Isaboke
B. Ogutu
W. Oyibo
Elizabeth Villasis
K. Tun
Christine M Bachman
David Bell
C. Mehanian
ArXivPDFHTML

Papers citing "Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information"

5 / 5 papers shown
Title
Assessing Generalization Capabilities of Malaria Diagnostic Models from
  Thin Blood Smears
Assessing Generalization Capabilities of Malaria Diagnostic Models from Thin Blood Smears
Louise Guillon
Soheib Biga
Axel Puyo
Grégoire Pasquier
Valentin Foucher
...
A. Dorkenoo
Laurent Bonnardot
M. Thellier
Laurence Lachaud
Renaud Piarroux
29
0
0
16 Aug 2024
Driving down Poisson error can offset classification error in clinical
  tasks
Driving down Poisson error can offset classification error in clinical tasks
Charles B. Delahunt
C. Mehanian
M. Horning
48
0
0
09 May 2024
Metrics to guide development of machine learning algorithms for malaria
  diagnosis
Metrics to guide development of machine learning algorithms for malaria diagnosis
Charles B. Delahunt
Noni Gachuhi
M. Horning
37
6
0
14 Sep 2022
Malaria Detection and Classificaiton
Malaria Detection and Classificaiton
R. Manku
Ayush Sharma
Anand Panchbhai
33
8
0
29 Nov 2020
A Survey on Deep Learning in Medical Image Analysis
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
343
10,639
0
19 Feb 2017
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