Artificial intelligence, parasites, and parasitic diseases

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Parasites & Vectors

Parasites & Vectors focusses on all aspects of the biology of parasites, parasitic diseases, intermediate hosts, vectors and vector-borne pathogens.

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Showing 1-9 of 9 articles

Robust mosquito species identification from diverse body and wing images using deep learning
Kristopher Nolte
Felix Gregor Sauer
Renke Lühken
Brief Report Open access 02 September 2024 Article: 372
Laboratory validation of the automated diagnosis of intestinal parasites via fecal sample processing for the recovery of intestinal parasites through the dissolved air flotation technique
Felipe Augusto Soares
Celso Tetsuo Nagase Suzuki
Jancarlo Ferreira Gomes
Research Open access 30 August 2024 Article: 368
AI-driven convolutional neural networks for accurate identification of yellow fever vectors
Taís Oliveira de Araújo
Vinicius Lima de Miranda
Rodrigo Gurgel-Gonçalves
Research Open access 02 August 2024 Article: 329
Differential transcriptome study on the damage of testicular tissues caused by chronic infection of T. gondii in mice
Haoxin Li
Hao Yuan
Zi-Guo Yuan
Research Open access 10 June 2024 Article: 252
An optimised YOLOv4 deep learning model for efficient malarial cell detection in thin blood smear images
Dhevisha Sukumarran
Khairunnisa Hasikin
Paul Cliff Simon Divis
Research Open access 16 April 2024 Article: 188
Advances in the study of the interaction between schistosome infections and the host's intestinal microorganisms
Ao Hong
Abdulrahim Umar
Jing Huang
Review Open access 10 April 2024 Article: 185
Rapid classification of epidemiologically relevant age categories of the malaria vector, Anopheles funestus
Emmanuel P. Mwanga
Doreen J. Siria
Fredros O. Okumu
Research Open access 18 March 2024 Article: 143
A smartphone-based crowd-sourced real-time surveillance platform (apple snail inspector) for the invasive snails: a design and development study
Qiang Zhang
Xin Ding
Jun Cao
Research Open access 21 February 2024 Article: 78
High-throughput detection of parasites and ova in stool using the fully automatic digital feces analyzer, orienter model fa280
Sudarat Boonyong
Saowalak Hunnangkul
Sirichit Wongkamchai
Research Open access 07 January 2024 Article: 13

Artificial intelligence, parasites, and parasitic diseases

Participating journal

Parasites & Vectors

Articles

Robust mosquito species identification from diverse body and wing images using deep learning

Laboratory validation of the automated diagnosis of intestinal parasites via fecal sample processing for the recovery of intestinal parasites through the dissolved air flotation technique

AI-driven convolutional neural networks for accurate identification of yellow fever vectors

Differential transcriptome study on the damage of testicular tissues caused by chronic infection of T. gondii in mice

An optimised YOLOv4 deep learning model for efficient malarial cell detection in thin blood smear images

Advances in the study of the interaction between schistosome infections and the host's intestinal microorganisms

Rapid classification of epidemiologically relevant age categories of the malaria vector, Anopheles funestus

A smartphone-based crowd-sourced real-time surveillance platform (apple snail inspector) for the invasive snails: a design and development study

High-throughput detection of parasites and ova in stool using the fully automatic digital feces analyzer, orienter model fa280

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Artificial intelligence, parasites, and parasitic diseases

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