AIMC Topic: Animals

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Parasitic egg recognition using convolution and attention network.

Scientific reports
Intestinal parasitic infections (IPIs) caused by protozoan and helminth parasites are among the most common infections in humans in low-and-middle-income countries. IPIs affect not only the health status of a country, but also the economic sector. Ov...

Autonomous assessment of spontaneous retinal venous pulsations in fundus videos using a deep learning framework.

Scientific reports
The presence or absence of spontaneous retinal venous pulsations (SVP) provides clinically significant insight into the hemodynamic status of the optic nerve head. Reduced SVP amplitudes have been linked to increased intracranial pressure and glaucom...

Field experiment of a telesurgery system using a surgical robot with haptic feedback.

Surgery today
PURPOSE: To verify the usefulness of haptic feedback in telesurgery and improve the safety of telerobotic surgery.

Research on automatic classification and detection of chicken parts based on deep learning algorithm.

Journal of food science
Accurate classification and identification of chicken parts are critical to improve the productivity and processing speed in poultry processing plants. However, the overlapping of chicken parts has an impact on the effectiveness of the identification...

Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation.

IEEE transactions on bio-medical engineering
Comprehensive semantic segmentation on renal pathological images is challenging due to the heterogeneous scales of the objects. For example, on a whole slide image (WSI), the cross-sectional areas of glomeruli can be 64 times larger than that of the ...

On the influence of head motion on the swimming kinematics of robotic fish.

Bioinspiration & biomimetics
Up to now bio-inspired fish-mimicking robots fail when competing with the swimming performance of real fish. While tail motion has been studied extensively, the influence of the head motion is still not fully understood and its active control is chal...

Review and perspective on bioinformatics tools using machine learning and deep learning for predicting antiviral peptides.

Molecular diversity
Viruses constitute a constant threat to global health and have caused millions of human and animal deaths throughout human history. Despite advances in the discovery of antiviral compounds that help fight these pathogens, finding a solution to this p...

Deep learning and wing interferential patterns identify Anopheles species and discriminate amongst Gambiae complex species.

Scientific reports
We present a new and innovative identification method based on deep learning of the wing interferential patterns carried by mosquitoes of the Anopheles genus to classify and assign 20 Anopheles species, including 13 malaria vectors. We provide additi...

Using pseudo-labeling to improve performance of deep neural networks for animal identification.

Scientific reports
Contemporary approaches for animal identification use deep learning techniques to recognize coat color patterns and identify individual animals in a herd. However, deep learning algorithms usually require a large number of labeled images to achieve s...

Developing an automatic warning system for anomalous chicken dispersion and movement using deep learning and machine learning.

Poultry science
Chicken is a major source of dietary protein worldwide. The dispersion and movement of chickens constitute vital indicators of their health and status. This is especially evident in Taiwanese native chickens (TNCs), a local variety which is high in p...