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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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Pre-trained Language Models and Few-shot Learning for Medical Entity Extraction

This study proposes a medical entity extraction method based on Transformer to enhance the informa...

A Novel Cholesky Kernel based Support Vector Classifier

Support Vector Machine (SVM) is a popular supervised classification model that works by first find...

Precise Legal Sentence Boundary Detection for Retrieval at Scale: NUPunkt and CharBoundary

We present NUPunkt and CharBoundary, two sentence boundary detection libraries optimized for high-...

A Machine Learning and Finite Element Framework for Inverse Elliptic PDEs via Dirichlet-to-Neumann Mapping

Inverse problems for partial differential equations (PDEs) are crucial in numerous applications su...

Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite Imagery

The accurate delineation of agricultural field boundaries from satellite imagery is vital for land...

All-day Depth Completion via Thermal-LiDAR Fusion

Depth completion, which estimates dense depth from sparse LiDAR and RGB images, has demonstrated o...

BiSeg-SAM: Weakly-Supervised Post-Processing Framework for Boosting Binary Segmentation in Segment Anything Models

Accurate segmentation of polyps and skin lesions is essential for diagnosing colorectal and skin c...

CFMD: Dynamic Cross-layer Feature Fusion for Salient Object Detection

Cross-layer feature pyramid networks (CFPNs) have achieved notable progress in multi-scale feature...

Visually Image Encryption and Compression Using a CNN-Based Auto Encoder

This paper proposes a visual encryption method to ensure the confidentiality of digital images. Th...

3D Dental Model Segmentation with Geometrical Boundary Preserving

3D intraoral scan mesh is widely used in digital dentistry diagnosis, segmenting 3D intraoral scan...

BoundMatch: Boundary detection applied to semi-supervised segmentation for urban-driving scenes

Semi-supervised semantic segmentation (SS-SS) aims to mitigate the heavy annotation burden of dens...

A Deep Learning Framework for Boundary-Aware Semantic Segmentation

As a fundamental task in computer vision, semantic segmentation is widely applied in fields such a...

Context-Aware Weakly Supervised Image Manipulation Localization with SAM Refinement

Malicious image manipulation poses societal risks, increasing the importance of effective image ma...

BADGR: Bundle Adjustment Diffusion Conditioned by GRadients for Wide-Baseline Floor Plan Reconstruction

Reconstructing precise camera poses and floor plan layouts from wide-baseline RGB panoramas is a d...

Data-Driven, ML-assisted Approaches to Problem Well-Posedness

Classically, to solve differential equation problems, it is necessary to specify sufficient initia...

PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation

Segment Anything Model (SAM) demonstrates powerful zero-shot capabilities; however, its accuracy a...

Enhanced Vascular Flow Simulations in Aortic Aneurysm via Physics-Informed Neural Networks and Deep Operator Networks

Due to the limited accuracy of 4D Magnetic Resonance Imaging (MRI) in identifying hemodynamics in ...

A Novel Channel Boosted Residual CNN-Transformer with Regional-Boundary Learning for Breast Cancer Detection

Recent advancements in detecting tumors using deep learning on breast ultrasound images (BUSI) hav...

HiMTok: Learning Hierarchical Mask Tokens for Image Segmentation with Large Multimodal Model

The remarkable performance of large multimodal models (LMMs) has attracted significant interest fr...

Adaptive Transformer Attention and Multi-Scale Fusion for Spine 3D Segmentation

This study proposes a 3D semantic segmentation method for the spine based on the improved SwinUNET...

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