Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
Precision agriculture leverages data and machine learning so that farmers can monitor their crops ...
Camouflaged object detection (COD) aims to identify objects in images that are well hidden in the ...
This paper presents an incomplete Octree mesh implementation of the Shifted Boundary Method (Octre...
The proliferation of healthcare data has expanded opportunities for collaborative research, yet st...
Finger vein recognition (FVR) has emerged as a secure biometric technique because of the confident...
Automatic prohibited item detection in X-ray images is crucial for public safety. However, most ex...
Unsupervised anomaly detection methods can identify surface defects in industrial images by levera...
Electrical impedance tomography (EIT) is a non-invasive imaging technique, capable of reconstructi...
Open intent classification is critical for the development of dialogue systems, aiming to accurate...
Annotation of medical images, such as MRI and CT scans, is crucial for evaluating treatment effica...
Data privacy is a major concern in industries such as healthcare or finance. The requirement to sa...
The rise of chronic diseases and pandemics like COVID-19 has emphasized the need for effective pat...
The first partial boundary data complex geometrical optics based methods for electrical impedance ...
Segmentation of ultra-high resolution (UHR) images is a critical task with numerous applications, ...
Medical image segmentation plays an important role in clinical decision making, treatment planning...
This paper introduces a hybrid learning framework that combines convolutional neural networks (CNN...
Spinal cord tumors significantly contribute to neurological morbidity and mortality. Precise morph...
Spatial transcriptomics (ST) has emerged as an advanced technology that provides spatial context t...
With increasing concerns over privacy in healthcare, especially for sensitive medical data, this r...
Many NP-hard graph problems become easy for some classes of graphs, such as coloring is easy for b...
Combating money laundering has become increasingly complex with the rise of cybercrime and digital...