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Medical Ethics / Professional Responsibility

Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.

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MCAL: An Anatomical Knowledge Learning Model for Myocardial Segmentation in 2-D Echocardiography.

Segmentation of the left ventricular (LV) myocardium in 2-D echocardiography is essential for clinic...

Effect of dataset size, image quality, and image type on deep learning-based automatic prostate segmentation in 3D ultrasound.

Three-dimensional (3D) transrectal ultrasound (TRUS) is utilized in prostate cancer diagnosis and tr...

Medical image diagnosis of prostate tumor based on PSP-Net+VGG16 deep learning network.

BACKGROUND AND OBJECTIVE: Prostate cancer is the most common cancer of the male reproductive system....

Towards accurate facial nerve segmentation with decoupling optimization.

Robotic cochlear implantation is an effective way to restore the hearing of hearing-impaired patient...

Improvement of Neural-Network Classifiers Using Fuzzy Floating Centroids.

In this article, a fuzzy floating centroids method (FFCM) is proposed, which uses a fuzzy strategy a...

Novel technical and privacy-preserving technology for artificial intelligence in ophthalmology.

PURPOSE OF REVIEW: The application of artificial intelligence (AI) in medicine and ophthalmology has...

Graph-Based Region and Boundary Aggregation for Biomedical Image Segmentation.

Segmentation is a fundamental task in biomedical image analysis. Unlike the existing region-based de...

A Federated Mining Approach on Predicting Diabetes-Related Complications: Demonstration Using Real-World Clinical Data.

Chronic diabetes can lead to microvascular complications, including diabetic eye disease, diabetic k...

Hybrid Ensemble-Rule Algorithm for Improved MEDLINE® Sentence Boundary Detection.

Sentence boundary detection (SBD) is a fundamental building block in the Natural Language Processing...

Deep learning approach based on superpixel segmentation assisted labeling for automatic pressure ulcer diagnosis.

A pressure ulcer is an injury of the skin and underlying tissues adjacent to a bony eminence. Patien...

Boundary-aware context neural network for medical image segmentation.

Medical image segmentation can provide a reliable basis for further clinical analysis and disease di...

Application of Artificial Intelligence Nuclear Medicine Automated Images Based on Deep Learning in Tumor Diagnosis.

In order to correctly obtain normal tissues and organs and tumor lesions, the research on multimodal...

Boundary curvature guided programmable shape-morphing kirigami sheets.

Kirigami, a traditional paper cutting art, offers a promising strategy for 2D-to-3D shape morphing t...

Discrete-time practical robotic control for human-robot interaction with state constraint and sensorless force estimation.

Employing a continuous-time control algorithm to control the practical system based on discrete-time...

GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation.

In this paper, we propose a geometric neural network with edge-aware refinement (GeoNet++) to jointl...

Multi-scale Selection and Multi-channel Fusion Model for Pancreas Segmentation Using Adversarial Deep Convolutional Nets.

Organ segmentation from existing imaging is vital to the medical image analysis and disease diagnosi...

Joint Deep-Learning-Enabled Impact of Holistic Care on Line Coagulation in Hemodialysis.

In order to investigate the impact of holistic care on line coagulation and safety in hemodialysis a...

Multimode function multistability for Cohen-Grossberg neural networks with mixed time delays.

In this paper, we are concerned with the multimode function multistability for Cohen-Grossberg neura...

Efficient Medical Image Segmentation Based on Knowledge Distillation.

Recent advances have been made in applying convolutional neural networks to achieve more precise pre...

Inter-Level Feature Balanced Fusion Network for Street Scene Segmentation.

Semantic segmentation, as a pixel-level recognition task, has been widely used in a variety of pract...

Automatic liver tumor localization using deep learning-based liver boundary motion estimation and biomechanical modeling (DL-Bio).

PURPOSE: Recently, two-dimensional-to-three-dimensional (2D-3D) deformable registration has been app...

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