Latest AI and machine learning research in universal precautions for healthcare professionals.
The reliance on large labeled datasets presents a significant challenge in medical image segmentat...
Autonomous navigation is a fundamental task for robot vacuum cleaners in indoor environments. Sinc...
BACKGROUND: This study aims to develop and examine the performance of machine learning (ML) algorith...
Chronic hepatitis B (CHB) infection represents a significant global public health issue, often leadi...
Opportunistic infections (OIs) are the leading cause of hospitalisation and mortality among Human Im...
While deep learning has significantly advanced medical image segmentation, most existing methods s...
Point cloud upsampling aims to generate dense and uniformly distributed point sets from sparse poi...
Masked language modelling (MLM) as a pretraining objective has been widely adopted in genomic sequ...
Real-world image matting is essential for applications in content creation and augmented reality. ...
Achieving a consistent and compact 3D segmentation field is crucial for maintaining semantic coher...
Neurofibromatosis Type 1 is a genetic disorder characterized by the development of neurofibromas (...
Automatic counting soybean pods and seeds in outdoor fields allows for rapid yield estimation befo...
Large Language Models (LLMs) suffer severe performance degradation when facing extremely low-bit (...
Generalizable humanoid loco-manipulation poses significant challenges, requiring coordinated whole...
We present PromptArtisan, a groundbreaking approach to multi-instruction image editing that achiev...
The recent Segment Anything Models (SAMs) have emerged as foundational visual models for general i...
Visualizing a large-scale volumetric dataset with high resolution is challenging due to the high c...
Phylogenetic analysis traditionally relies on labor-intensive manual extraction of morphological t...
Contrastive language-image pretraining (CLIP) has significantly advanced image-based vision learni...
In this paper, we aim to address the unmet demand for automated prompting and enhanced human-model...
We tackle open-vocabulary 3D scene understanding by introducing a novel data generation pipeline a...