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Universal precautions

Latest AI and machine learning research in universal precautions for healthcare professionals.

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An Efficient Deep Learning Mechanism for the Recognition of Olive Trees in Jouf Region.

Olive trees grow all over the world in reasonably moderate and dry climates, making them fortunate a...

BRefine: Achieving High-Quality Instance Segmentation.

Instance segmentation has been developing rapidly in recent years. Mask R-CNN, a two-stage instance ...

Deep Learning-Enabled Raman Spectroscopic Identification of Pathogen-Derived Extracellular Vesicles and the Biogenesis Process.

Pathogenic bacterial infections, exacerbated by increasing antimicrobial resistance, pose a major th...

Study on Accuracy Improvement of Slope Failure Region Detection Using Mask R-CNN with Augmentation Method.

We proposed an automatic detection method of slope failure regions using a semantic segmentation met...

Comparative studies of deep learning segmentation models for left ventricle segmentation.

One of the primary factors contributing to death across all age groups is cardiovascular disease. In...

Enhancement of Local Crowd Location and Count: Multiscale Counting Guided by Head RGB-Mask.

BACKGROUND: In crowded crowd images, traditional detection models often have the problems of inaccur...

A Novel Wearable Soft Glove for Hand Rehabilitation and Assistive Grasping.

In order to assist patients with finger rehabilitation training and grasping objects, we propose a n...

A Deep Learning Approach to Capture the Essence of Candida albicans Morphologies.

We present deep learning-based approaches for exploring the complex array of morphologies exhibited ...

Using Artificial Intelligence to extract information on pathogen characteristics from scientific publications.

Health risk assessment of environmental exposure to pathogens requires complete and up to date knowl...

Attention Mask R-CNN with edge refinement algorithm for identifying circulating genetically abnormal cells.

Recent studies have suggested that circulating tumor cells with abnormalities in gene copy numbers i...

Multistage Framework for Automatic Face Mask Detection Using Deep Learning.

The whole world is fighting as one against a deadly virus. COVID-19 cases are upon us in waves, with...

Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis.

With the remarkable recent progress on learning deep generative models, it becomes increasingly inte...

Application of the sliding window method and Mask-RCNN method to nuclear recognition in oral cytology.

BACKGROUND: We aimed to develop an artificial intelligence (AI)-assisted oral cytology method, simil...

New feature extraction from phylogenetic profiles improved the performance of pathogen-host interactions.

MOTIVATION: The understanding of pathogen-host interactions (PHIs) is essential and challenging rese...

Time-Frequency Mask-Aware Bidirectional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation.

Underwater acoustic signal separation is a key technique for underwater communications. The existing...

Combined Mueller matrix imaging and artificial intelligence classification framework for Hepatitis B detection.

SIGNIFICANCE: The combination of polarized imaging with artificial intelligence (AI) technology has ...

Nucleoside Triphosphate Hydrolases Assay in Toxoplasm gondii and Neospora caninum for High-Throughput Screening using a Robot Arm.

Protozoan parasites infect humans and many warm-blooded animals. Toxoplasma gondii, a major protozoa...

Multi-mask self-supervised learning for physics-guided neural networks in highly accelerated magnetic resonance imaging.

Self-supervised learning has shown great promise because of its ability to train deep learning (DL) ...

InjectMeAI-Software Module of an Autonomous Injection Humanoid.

The recent pandemic outbreak proved social distancing effective in helping curb the spread of SARS-C...

Face Mask-Wearing Detection Model Based on Loss Function and Attention Mechanism.

Face mask-wearing detection is of great significance for safety protection during the epidemic. Aimi...

Heuristic Attention Representation Learning for Self-Supervised Pretraining.

Recently, self-supervised learning methods have been shown to be very powerful and efficient for yie...

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