Latest AI and machine learning research in covid-19 for healthcare professionals.
We study the relative-error property testing model for Boolean functions that was recently introdu...
Current Few Shot Segmentation literature lacks a mask selection method that goes beyond visual sim...
Sparse-view sampling in dual-energy computed tomography (DECT) significantly reduces radiation dos...
Software testing is crucial for ensuring software quality, yet developers' engagement with it vari...
[Context:] The acceptance of candidate patches in automated program repair has been typically base...
We introduce the S-EO dataset: a large-scale, high-resolution dataset, designed to advance geometr...
This paper presents MedSegFactory, a versatile medical synthesis framework that generates high-qua...
Chronic wounds affect a large population, particularly the elderly and diabetic patients, who ofte...
Recent advances in Vision Transformers (ViTs) have set new benchmarks in semantic segmentation. Ho...
Region-level captioning aims to generate natural language descriptions for specific image regions ...
This paper provides a computer-assisted proof for the Turing instability induced by heterogeneous ...
Unsupervised anomaly detection and segmentation methods train a model to learn the training distri...
Visible watermark removal which involves watermark cleaning and background content restoration is ...
Instance segmentation plays a pivotal role in medical image analysis by enabling precise localizat...
Unsupervised Domain Adaptation (UDA) leverages labeled source data to train models for unlabeled t...
Accurate segmentation of polyps and skin lesions is essential for diagnosing colorectal and skin c...
The SZZ algorithm is the dominant technique for identifying bug-inducing commits and serves as a f...
Background. Infectious diseases, particularly COVID-19, continue to be a significant global health...
This paper proposes a visual encryption method to ensure the confidentiality of digital images. Th...
Recent advances in zero-shot referring image segmentation (RIS), driven by models such as the Segm...
INTRODUCTION: Optimal use of HIV testing resources accelerates progress towards ending HIV as a glob...