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Improving Sickle Cell Disease Classification: A Fusion of Conventional
  Classifiers, Segmented Images, and Convolutional Neural Networks

Improving Sickle Cell Disease Classification: A Fusion of Conventional Classifiers, Segmented Images, and Convolutional Neural Networks

23 December 2024
Victor Júnio Alcântara Cardoso
Rodrigo Moreira
João Fernando Mari
Larissa F. Rodrigues Moreira
ArXivPDFHTML

Papers citing "Improving Sickle Cell Disease Classification: A Fusion of Conventional Classifiers, Segmented Images, and Convolutional Neural Networks"

2 / 2 papers shown
Title
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
20,567
0
17 Apr 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
261
36,371
0
25 Aug 2016
1