A supervised U-Net based color image semantic segmentation for detection & classification of human intestinal parasites

A supervised U-Net based color image semantic segmentation for detection & classification of human intestinal parasites

Intestinal parasites are among the main public health problems around the world especially in underprivileged communities where overcrowded, poor environmental sanitation and lack of access for clear and safe water are prevalent. Currently, approximately 4 billion people are infected by intestinal p...

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Bibliographic Details
Main Authors: Ideal Oscar Libouga, Laurent Bitjoka, David Libouga Li Gwet, Ousman Boukar, Alexandre Michel Njan Nlôga
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:e-Prime: Advances in Electrical Engineering, Electronics and Energy
Subjects:
Diagnosis
Intestinal parasites
Segmentation
U-Net
Online Access:http://www.sciencedirect.com/science/article/pii/S2772671122000419

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http://www.sciencedirect.com/science/article/pii/S2772671122000419

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