Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
This study proposes a medical entity extraction method based on Transformer to enhance the informa...
Support Vector Machine (SVM) is a popular supervised classification model that works by first find...
We present NUPunkt and CharBoundary, two sentence boundary detection libraries optimized for high-...
Inverse problems for partial differential equations (PDEs) are crucial in numerous applications su...
The accurate delineation of agricultural field boundaries from satellite imagery is vital for land...
Depth completion, which estimates dense depth from sparse LiDAR and RGB images, has demonstrated o...
Accurate segmentation of polyps and skin lesions is essential for diagnosing colorectal and skin c...
Cross-layer feature pyramid networks (CFPNs) have achieved notable progress in multi-scale feature...
This paper proposes a visual encryption method to ensure the confidentiality of digital images. Th...
3D intraoral scan mesh is widely used in digital dentistry diagnosis, segmenting 3D intraoral scan...
Semi-supervised semantic segmentation (SS-SS) aims to mitigate the heavy annotation burden of dens...
As a fundamental task in computer vision, semantic segmentation is widely applied in fields such a...
Malicious image manipulation poses societal risks, increasing the importance of effective image ma...
Reconstructing precise camera poses and floor plan layouts from wide-baseline RGB panoramas is a d...
Classically, to solve differential equation problems, it is necessary to specify sufficient initia...
Segment Anything Model (SAM) demonstrates powerful zero-shot capabilities; however, its accuracy a...
Due to the limited accuracy of 4D Magnetic Resonance Imaging (MRI) in identifying hemodynamics in ...
Recent advancements in detecting tumors using deep learning on breast ultrasound images (BUSI) hav...
The remarkable performance of large multimodal models (LMMs) has attracted significant interest fr...
This study proposes a 3D semantic segmentation method for the spine based on the improved SwinUNET...
Accurate illness diagnosis is vital for effective treatment and patient safety. Machine learning m...