Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
Segmentation of the left ventricular (LV) myocardium in 2-D echocardiography is essential for clinic...
Three-dimensional (3D) transrectal ultrasound (TRUS) is utilized in prostate cancer diagnosis and tr...
BACKGROUND AND OBJECTIVE: Prostate cancer is the most common cancer of the male reproductive system....
Robotic cochlear implantation is an effective way to restore the hearing of hearing-impaired patient...
In this article, a fuzzy floating centroids method (FFCM) is proposed, which uses a fuzzy strategy a...
PURPOSE OF REVIEW: The application of artificial intelligence (AI) in medicine and ophthalmology has...
Segmentation is a fundamental task in biomedical image analysis. Unlike the existing region-based de...
Chronic diabetes can lead to microvascular complications, including diabetic eye disease, diabetic k...
Sentence boundary detection (SBD) is a fundamental building block in the Natural Language Processing...
A pressure ulcer is an injury of the skin and underlying tissues adjacent to a bony eminence. Patien...
Medical image segmentation can provide a reliable basis for further clinical analysis and disease di...
In order to correctly obtain normal tissues and organs and tumor lesions, the research on multimodal...
Kirigami, a traditional paper cutting art, offers a promising strategy for 2D-to-3D shape morphing t...
Employing a continuous-time control algorithm to control the practical system based on discrete-time...
In this paper, we propose a geometric neural network with edge-aware refinement (GeoNet++) to jointl...
Organ segmentation from existing imaging is vital to the medical image analysis and disease diagnosi...
In order to investigate the impact of holistic care on line coagulation and safety in hemodialysis a...
In this paper, we are concerned with the multimode function multistability for Cohen-Grossberg neura...
Recent advances have been made in applying convolutional neural networks to achieve more precise pre...
Semantic segmentation, as a pixel-level recognition task, has been widely used in a variety of pract...
PURPOSE: Recently, two-dimensional-to-three-dimensional (2D-3D) deformable registration has been app...