AIMC Topic: Dogs

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Deep Learning Empowered Wearable-Based Behavior Recognition for Search and Rescue Dogs.

Sensors (Basel, Switzerland)
Search and Rescue (SaR) dogs are important assets in the hands of first responders, as they have the ability to locate the victim even in cases where the vision and or the sound is limited, due to their inherent talents in olfactory and auditory sens...

Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition.

IEEE transactions on pattern analysis and machine intelligence
The click feature of an image, defined as the user click frequency vector of the image on a predefined word vocabulary, is known to effectively reduce the semantic gap for fine-grained image recognition. Unfortunately, user click frequency data are u...

Computer-assisted mitotic count using a deep learning-based algorithm improves interobserver reproducibility and accuracy.

Veterinary pathology
The mitotic count (MC) is an important histological parameter for prognostication of malignant neoplasms. However, it has inter- and intraobserver discrepancies due to difficulties in selecting the region of interest (MC-ROI) and in identifying or cl...

Optical Biopsy Using a Neural Network to Predict Gene Expression From Photos of Wounds.

The Journal of surgical research
BACKGROUND: The clinical characterization of the biological status of complex wounds remains a considerable challenge. Digital photography provides a non-invasive means of obtaining wound information and is currently employed to assess wounds qualita...

Autonomous Thermal Vision Robotic System for Victims Recognition in Search and Rescue Missions.

Sensors (Basel, Switzerland)
Technological breakthroughs in recent years have led to a revolution in fields such as Machine Vision and Search and Rescue Robotics (SAR), thanks to the application and development of new and improved neural networks to vision models together with m...

The pilot study of group robot intervention on pediatric inpatients and their caregivers, using 'new aibo'.

European journal of pediatrics
The study on robot-assisted therapy in a pediatric field has not been applied sufficiently in clinical settings. The purpose of this pilot study is to explore the potential therapeutic effects of a group robot intervention (GRI), using dog-like socia...

Multi-Phase Joint-Angle Trajectory Generation Inspired by Dog Motion for Control of Quadruped Robot.

Sensors (Basel, Switzerland)
Quadruped robots are receiving great attention as a new means of transportation for various purposes, such as military, welfare, and rehabilitation systems. The use of four legs enables a robustly stable gait; compared to the humanoid robots, the qua...

Electromechanical Wave Imaging With Machine Learning for Automated Isochrone Generation.

IEEE transactions on medical imaging
Standard Electromechanical Wave Imaging isochrone generation relies on manual selection of zero-crossing (ZC) locations on incremental strain curves for a number of pixels in the segmented myocardium for each echocardiographic view and patient. When ...

A bionic soft tongue driven by shape memory alloy and pneumatics.

Bioinspiration & biomimetics
Soft grippers have exhibited considerable advantages owing to their flexible deformation, compliant operation, and safe interaction with objects. The ability to grip solid and liquid objects can greatly expand the application range of the soft grippe...

Intraoperative assessment of canine soft tissue sarcoma by deep learning enhanced optical coherence tomography.

Veterinary and comparative oncology
Soft tissue sarcoma (STS) is a locally aggressive and infiltrative tumour in dogs. Surgical resection is the treatment of choice for local tumour control. Currently, post-operative pathology is performed for surgical margin assessment. Spectral-domai...