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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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Decentralized, privacy-preserving surgical video analysis with Swarm Learning

Progress in artificial intelligence-based analysis of surgical videos has been constrained by relian...

Sociodemographic Bias in Large Language Model Clinical Trial Screening

Large language models (LLMs) are increasingly used in randomized clinical trial (RCT) screening, but...

Physical Activity Shapes Brain Structure, Function, and the Computational Mechanisms of Cognitive Control

Sedentarism is prevalent and associated with poorer mental and physical health. Whether everyday phy...

FGAseg: Fine-Grained Pixel-Text Alignment for Open-Vocabulary Semantic Segmentation

Open-vocabulary segmentation aims to identify and segment specific regions and objects based on te...

A Survey of Secure Semantic Communications

Semantic communication (SemCom) is regarded as a promising and revolutionary technology in 6G, aim...

DEFIF-Net: A lightweight dual-encoding feature interaction fusion network for medical image segmentation.

Medical image segmentation plays a crucial role in computer-aided diagnosis. By segmenting pathologi...

Jan 2025 40440624
Enhancing Privacy-Preserving Cancer Classification with Convolutional Neural Networks.

Precision medicine significantly enhances patients prognosis, offering personalized treatments. Part...

Jan 2025 39670396
HCAP: Hybrid cyber attack prediction model for securing healthcare applications.

The rapid development and integration of interconnected healthcare devices and communication network...

Jan 2025 40354442
Exploiting Boundary Loss for the Hierarchical Panoptic Segmentation of Plants and Leaves

Precision agriculture leverages data and machine learning so that farmers can monitor their crops ...

B2Net: Camouflaged Object Detection via Boundary Aware and Boundary Fusion

Camouflaged object detection (COD) aims to identify objects in images that are well hidden in the ...

A Shifted Boundary Method for Thermal Flows

This paper presents an incomplete Octree mesh implementation of the Shifted Boundary Method (Octre...

A Multiparty Homomorphic Encryption Approach to Confidential Federated Kaplan Meier Survival Analysis

The proliferation of healthcare data has expanded opportunities for collaborative research, yet st...

Motion Transfer-Driven intra-class data augmentation for Finger Vein Recognition

Finger vein recognition (FVR) has emerged as a secure biometric technique because of the confident...

MNet-SAt: A Multiscale Network with Spatial-enhanced Attention for Segmentation of Polyps in Colonoscopy

Objective: To develop a novel deep learning framework for the automated segmentation of colonic po...

BCR-Net: Boundary-Category Refinement Network for Weakly Semi-Supervised X-Ray Prohibited Item Detection with Points

Automatic prohibited item detection in X-ray images is crucial for public safety. However, most ex...

HELPNet: Hierarchical Perturbations Consistency and Entropy-guided Ensemble for Scribble Supervised Medical Image Segmentation

Creating fully annotated labels for medical image segmentation is prohibitively time-intensive and...

Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection

Unsupervised anomaly detection methods can identify surface defects in industrial images by levera...

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction

Electrical impedance tomography (EIT) is a non-invasive imaging technique, capable of reconstructi...

Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary

Open intent classification is critical for the development of dialogue systems, aiming to accurate...

In-context learning for medical image segmentation

Annotation of medical images, such as MRI and CT scans, is crucial for evaluating treatment effica...

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