Latest AI and machine learning research in universal precautions for healthcare professionals.
The increasing global reliance on aquaculture is challenged by disease outbreaks, exacerbated by ant...
In-context learning (ICL) is emerging as a promising technique for achieving universal medical ima...
Class-incremental/Continual image segmentation (CIS) aims to train an image segmenter in stages, w...
The development of robust deep learning models for breast ultrasound (BUS) image analysis is signi...
Local motion blur in digital images originates from the relative motion between dynamic objects an...
Robust 6D object pose estimation in cluttered or occluded conditions using monocular RGB images re...
Video-to-audio (V2A) generation shows great potential in fields such as film production. Despite s...
Birds' Eye View (BEV) semantic segmentation is an indispensable perception task in end-to-end auto...
We present 3D PixBrush, a method for performing image-driven edits of local regions on 3D meshes. ...
To advance real-world fashion image editing, we analyze existing two-stage pipelines(mask generati...
Document shadow removal is a crucial task in the field of document image enhancement. However, exi...
Dual-mode sensors capable of detecting multiple physical stimuli simultaneously offer significant ad...
We introduce and validate the lottery codec hypothesis, which states that untrained subnetworks wi...
HIV epidemiological data is increasingly complex, requiring advanced computation for accurate clus...
Introduction: Deep learning (DL) models can help detect intracranial aneurysms on CTA, but high fa...
Recent advancements in deep learning for medical image segmentation are often limited by the scarc...
Region of Interest (ROI)-based image compression optimizes bit allocation by prioritizing ROI for ...
BACKGROUND AND AIMS: To develop a deep learning model based on high-frequency ultrasound images to c...
is a leading cause of foodborne illnesses globally, with significant mortality rates, especially am...
Accurate lesion tracking in temporal mammograms is essential for monitoring breast cancer progress...
Medical image data is less accessible than in other domains due to privacy and regulatory constrai...