Latest AI and machine learning research in universal precautions for healthcare professionals.
Dichotomous Image Segmentation (DIS) tasks require highly precise annotations, and traditional dataset creation methods are labor intensive, costly, and require extensive domain expertise. Although using synthetic data for DIS is a promising solution to these challenges, current generative models and techniques struggle with the issues of scene deviations, noise-induced errors, and limited train...
Extracting medication names from handwritten doctor prescriptions is challenging due to the wide variability in handwriting styles and prescription formats. This paper presents a robust method for extracting medicine names using a combination of Mask R-CNN and Transformer-based Optical Character Recognition (TrOCR) with Multi-Head Attention and Positional Embeddings. A novel dataset, featuring d...
Recent virtual try-on approaches have advanced by fine-tuning the pre-trained text-to-image diffusion models to leverage their powerful generative a...
Few-shot defect multi-classification (FSDMC) is an emerging trend in quality control within industrial manufacturing. However, current FSDMC researc...
As a cost-effective and robust technology, automotive radar has seen steady improvement during the last years, making it an appealing complement to ...
Current saliency-based defect detection methods show promise in industrial settings, but the unpredictability of defects in steel production environ...
As a common image editing operation, image composition involves integrating foreground objects into background scenes. In this paper, we expand the ...
Purpose: This work addresses the detection of Helicobacter pylori (H. pylori) in histological images with immunohistochemical staining. This analysi...
Recently, diffusion models have emerged as promising newcomers in the field of generative models, shining brightly in image generation. However, whe...
Image Splicing Localization (ISL) is a fundamental yet challenging task in digital forensics. Although current approaches have achieved promising pe...
Unsupervised visual anomaly detection is crucial for enhancing industrial production quality and efficiency. Among unsupervised methods, reconstruct...
Open-vocabulary image segmentation has been advanced through the synergy between mask generators and vision-language models like Contrastive Languag...
As pathogen molecular diagnostics technology develops, the software analysis of polymerase chain reaction sigmoidal curves, cycle threshold (Ct) value...
Prostate cancer is a leading cause of cancer-related deaths among men. The recent development of high frequency, micro-ultrasound imaging offers imp...
Significant disparities between the features of natural images and those inherent to histopathological images make it challenging to directly apply ...
Image editing has advanced significantly with the development of diffusion models using both inversion-based and instruction-based methods. However,...
We tackle the challenge of open-vocabulary segmentation, where we need to identify objects from a wide range of categories in different environments...
Contagious mastitis pathogens can be transmitted through milking. However, previously published simulation models, such as MiCull, have not directly...
To efficiently manage plant diseases, Agriculture Cyber-Physical Systems (A-CPS) have been developed to detect and localize disease infestations by ...
Open-vocabulary panoptic segmentation aims to segment and classify everything in diverse scenes across an unbounded vocabulary. Existing methods typ...