Identification of Snails and Schistosoma of Medical Importance via Convolutional Neural Networks: A Proof-of-Concept Application for Human Schistosomiasis

Identification of Snails and Schistosoma of Medical Importance via Convolutional Neural Networks: A Proof-of-Concept Application for Human Schistosomiasis

In recent decades, computer vision has proven remarkably effective in addressing diverse issues in public health, from determining the diagnosis, prognosis, and treatment of diseases in humans to predicting infectious disease outbreaks. Here, we investigate whether convolutional neural networks (CNN...

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Bibliographic Details
Main Authors: Krti Tallam, Zac Yung-Chun Liu, Andrew J. Chamberlin, Isabel J. Jones, Pretom Shome, Gilles Riveau, Raphael A. Ndione, Lydie Bandagny, Nicolas Jouanard, Paul Van Eck, Ton Ngo, Susanne H. Sokolow, Giulio A. De Leo
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Public Health
Subjects:
computer vision & image processing
schistosomiais
neglected tropical disease
deep learning - artificial neural network
image classification
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2021.642895/full

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https://www.frontiersin.org/articles/10.3389/fpubh.2021.642895/full

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