AIMC Topic: Nematoda

Clear Filters Showing 1 to 8 of 8 articles

Reversible kink instability drives ultrafast jumping in nematodes and soft robots.

Science robotics Apr 23, 2025
Entomopathogenic nematodes (EPNs) exhibit a bending-elastic instability, or kink, before becoming airborne, a feature previously hypothesized but not substantiated to enhance jumping performance. Here, we provide the evidence that this kink is crucia...
Biomechanical Phenomena Animals Computer Simulation Models, Biological Locomotion Nematoda Robotics Equipment Design
View on PubMed DOI

Improved Pine Wood Nematode Disease Diagnosis System Based on Deep Learning.

Plant disease Apr 23, 2025
Pine wilt disease caused by the pine wood nematode, , has profound implications for global forestry ecology. Conventional PCR methods need long operating time and are complicated to perform. The need for rapid and effective detection methodologies to...
Tylenchida Deep Learning Plant Diseases Nematoda Pinus Animals
View on PubMed DOI

Hyperspectral imaging and deep learning for parasite detection in white fish under industrial conditions.

Scientific reports Nov 9, 2024
Parasites in fish muscle present a significant problem for the seafood industry in terms of both quality and health and safety, but the low contrast between parasites and fish tissue makes them exceedingly difficult to detect. The traditional method ...
Fish Diseases Fishes Seafood Animals Deep Learning Food Parasitology Hyperspectral Imaging Nematoda
View on PubMed DOI

Machine learning algorithms accurately identify free-living marine nematode species.

PeerJ Oct 9, 2023
BACKGROUND: Identifying species, particularly small metazoans, remains a daunting challenge and the phylum Nematoda is no exception. Typically, nematode species are differentiated based on morphometry and the presence or absence of certain characters...
Chromadorea Animals Nematoda Machine Learning Algorithms Humans Artificial Intelligence
View on PubMed DOI

Taxonomy of multi-focal nematode image stacks by a CNN based image fusion approach.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: In the biomedical field, digital multi-focal images are very important for documentation and communication of specimen data, because the morphological information for a transparent specimen can be captured in form of a stack...
Sensitivity and Specificity Animals Image Processing, Computer-Assisted Support Vector Machine Algorithms Nematoda Reproducibility of Results Neural Networks, Computer Linear Models Pattern Recognition, Automated
View on PubMed DOI

Field study analysis of the influences of deworming regimens and housing conditions on parasites and sperm output in 21 European boar studs.

Veterinary journal (London, England : 1997) Dec 2, 2015
The current study reports the parasitological results of a quality control audit in 21 European boar studs. Field investigations were performed over a 2-year period (2012-2013) during the winter and spring. From each stud, an average of 30 (range, 25...
Nematoda Austria Feces Sus scrofa Germany Housing, Animal Models, Theoretical Communicable Disease Control Swine Seasons Benzimidazoles Switzerland Nematode Infections Animals Swine Diseases Lactones Spermatozoa Male
View on PubMed DOI

Integrating Microfluidics and Deep Learning to Investigate Entomopathogenic Nematode Responses to Host Cues.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Entomopathogenic nematodes (EPNs) are effective biocontrol agents, reducing pesticide impact on health and the environment. Understanding their physiology and ethology is crucial for optimizing their application. This study offers innovative insights...
Nematoda Host-Parasite Interactions Microfluidics Cues Neural Networks, Computer Animals Deep Learning
View on PubMed DOI

Learning to Segment Fine Structures Under Image-Level Supervision With an Application to Nematode Segmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Image segmentation models trained only with image-level labels have become increasingly popular as they require significantly less annotation effort than models trained with scribble, bounding box or pixel-wise annotations. While methods utilizing im...
Deep Learning Animals Supervised Machine Learning Nematoda
View on PubMed DOI
Popular Topics
Recent Journals